You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
623 lines
30 KiB
623 lines
30 KiB
/*M///////////////////////////////////////////////////////////////////////////////////////
|
|
//
|
|
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
|
|
//
|
|
// By downloading, copying, installing or using the software you agree to this license.
|
|
// If you do not agree to this license, do not download, install,
|
|
// copy or use the software.
|
|
//
|
|
//
|
|
// License Agreement
|
|
// For Open Source Computer Vision Library
|
|
//
|
|
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
|
|
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
|
|
// Third party copyrights are property of their respective owners.
|
|
//
|
|
// Redistribution and use in source and binary forms, with or without modification,
|
|
// are permitted provided that the following conditions are met:
|
|
//
|
|
// * Redistribution's of source code must retain the above copyright notice,
|
|
// this list of conditions and the following disclaimer.
|
|
//
|
|
// * Redistribution's in binary form must reproduce the above copyright notice,
|
|
// this list of conditions and the following disclaimer in the documentation
|
|
// and/or other materials provided with the distribution.
|
|
//
|
|
// * The name of the copyright holders may not be used to endorse or promote products
|
|
// derived from this software without specific prior written permission.
|
|
//
|
|
// This software is provided by the copyright holders and contributors "as is" and
|
|
// any express or implied warranties, including, but not limited to, the implied
|
|
// warranties of merchantability and fitness for a particular purpose are disclaimed.
|
|
// In no event shall the Intel Corporation or contributors be liable for any direct,
|
|
// indirect, incidental, special, exemplary, or consequential damages
|
|
// (including, but not limited to, procurement of substitute goods or services;
|
|
// loss of use, data, or profits; or business interruption) however caused
|
|
// and on any theory of liability, whether in contract, strict liability,
|
|
// or tort (including negligence or otherwise) arising in any way out of
|
|
// the use of this software, even if advised of the possibility of such damage.
|
|
//
|
|
//M*/
|
|
|
|
#ifndef __OPENCV_IMGPROC_IMGPROC_C_H__
|
|
#define __OPENCV_IMGPROC_IMGPROC_C_H__
|
|
|
|
#include "opencv2/core/core_c.h"
|
|
#include "opencv2/imgproc/types_c.h"
|
|
|
|
#ifdef __cplusplus
|
|
extern "C" {
|
|
#endif
|
|
|
|
/*********************** Background statistics accumulation *****************************/
|
|
|
|
/* Adds image to accumulator */
|
|
CVAPI(void) cvAcc( const CvArr* image, CvArr* sum,
|
|
const CvArr* mask CV_DEFAULT(NULL) );
|
|
|
|
/* Adds squared image to accumulator */
|
|
CVAPI(void) cvSquareAcc( const CvArr* image, CvArr* sqsum,
|
|
const CvArr* mask CV_DEFAULT(NULL) );
|
|
|
|
/* Adds a product of two images to accumulator */
|
|
CVAPI(void) cvMultiplyAcc( const CvArr* image1, const CvArr* image2, CvArr* acc,
|
|
const CvArr* mask CV_DEFAULT(NULL) );
|
|
|
|
/* Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha */
|
|
CVAPI(void) cvRunningAvg( const CvArr* image, CvArr* acc, double alpha,
|
|
const CvArr* mask CV_DEFAULT(NULL) );
|
|
|
|
/****************************************************************************************\
|
|
* Image Processing *
|
|
\****************************************************************************************/
|
|
|
|
/* Copies source 2D array inside of the larger destination array and
|
|
makes a border of the specified type (IPL_BORDER_*) around the copied area. */
|
|
CVAPI(void) cvCopyMakeBorder( const CvArr* src, CvArr* dst, CvPoint offset,
|
|
int bordertype, CvScalar value CV_DEFAULT(cvScalarAll(0)));
|
|
|
|
/* Smoothes array (removes noise) */
|
|
CVAPI(void) cvSmooth( const CvArr* src, CvArr* dst,
|
|
int smoothtype CV_DEFAULT(CV_GAUSSIAN),
|
|
int size1 CV_DEFAULT(3),
|
|
int size2 CV_DEFAULT(0),
|
|
double sigma1 CV_DEFAULT(0),
|
|
double sigma2 CV_DEFAULT(0));
|
|
|
|
/* Convolves the image with the kernel */
|
|
CVAPI(void) cvFilter2D( const CvArr* src, CvArr* dst, const CvMat* kernel,
|
|
CvPoint anchor CV_DEFAULT(cvPoint(-1,-1)));
|
|
|
|
/* Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y) */
|
|
CVAPI(void) cvIntegral( const CvArr* image, CvArr* sum,
|
|
CvArr* sqsum CV_DEFAULT(NULL),
|
|
CvArr* tilted_sum CV_DEFAULT(NULL));
|
|
|
|
/*
|
|
Smoothes the input image with gaussian kernel and then down-samples it.
|
|
dst_width = floor(src_width/2)[+1],
|
|
dst_height = floor(src_height/2)[+1]
|
|
*/
|
|
CVAPI(void) cvPyrDown( const CvArr* src, CvArr* dst,
|
|
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
|
|
|
|
/*
|
|
Up-samples image and smoothes the result with gaussian kernel.
|
|
dst_width = src_width*2,
|
|
dst_height = src_height*2
|
|
*/
|
|
CVAPI(void) cvPyrUp( const CvArr* src, CvArr* dst,
|
|
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
|
|
|
|
/* Builds pyramid for an image */
|
|
CVAPI(CvMat**) cvCreatePyramid( const CvArr* img, int extra_layers, double rate,
|
|
const CvSize* layer_sizes CV_DEFAULT(0),
|
|
CvArr* bufarr CV_DEFAULT(0),
|
|
int calc CV_DEFAULT(1),
|
|
int filter CV_DEFAULT(CV_GAUSSIAN_5x5) );
|
|
|
|
/* Releases pyramid */
|
|
CVAPI(void) cvReleasePyramid( CvMat*** pyramid, int extra_layers );
|
|
|
|
|
|
/* Filters image using meanshift algorithm */
|
|
CVAPI(void) cvPyrMeanShiftFiltering( const CvArr* src, CvArr* dst,
|
|
double sp, double sr, int max_level CV_DEFAULT(1),
|
|
CvTermCriteria termcrit CV_DEFAULT(cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS,5,1)));
|
|
|
|
/* Segments image using seed "markers" */
|
|
CVAPI(void) cvWatershed( const CvArr* image, CvArr* markers );
|
|
|
|
/* Calculates an image derivative using generalized Sobel
|
|
(aperture_size = 1,3,5,7) or Scharr (aperture_size = -1) operator.
|
|
Scharr can be used only for the first dx or dy derivative */
|
|
CVAPI(void) cvSobel( const CvArr* src, CvArr* dst,
|
|
int xorder, int yorder,
|
|
int aperture_size CV_DEFAULT(3));
|
|
|
|
/* Calculates the image Laplacian: (d2/dx + d2/dy)I */
|
|
CVAPI(void) cvLaplace( const CvArr* src, CvArr* dst,
|
|
int aperture_size CV_DEFAULT(3) );
|
|
|
|
/* Converts input array pixels from one color space to another */
|
|
CVAPI(void) cvCvtColor( const CvArr* src, CvArr* dst, int code );
|
|
|
|
|
|
/* Resizes image (input array is resized to fit the destination array) */
|
|
CVAPI(void) cvResize( const CvArr* src, CvArr* dst,
|
|
int interpolation CV_DEFAULT( CV_INTER_LINEAR ));
|
|
|
|
/* Warps image with affine transform */
|
|
CVAPI(void) cvWarpAffine( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
|
|
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
|
|
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
|
|
|
|
/* Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2) */
|
|
CVAPI(CvMat*) cvGetAffineTransform( const CvPoint2D32f * src,
|
|
const CvPoint2D32f * dst,
|
|
CvMat * map_matrix );
|
|
|
|
/* Computes rotation_matrix matrix */
|
|
CVAPI(CvMat*) cv2DRotationMatrix( CvPoint2D32f center, double angle,
|
|
double scale, CvMat* map_matrix );
|
|
|
|
/* Warps image with perspective (projective) transform */
|
|
CVAPI(void) cvWarpPerspective( const CvArr* src, CvArr* dst, const CvMat* map_matrix,
|
|
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
|
|
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
|
|
|
|
/* Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3) */
|
|
CVAPI(CvMat*) cvGetPerspectiveTransform( const CvPoint2D32f* src,
|
|
const CvPoint2D32f* dst,
|
|
CvMat* map_matrix );
|
|
|
|
/* Performs generic geometric transformation using the specified coordinate maps */
|
|
CVAPI(void) cvRemap( const CvArr* src, CvArr* dst,
|
|
const CvArr* mapx, const CvArr* mapy,
|
|
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS),
|
|
CvScalar fillval CV_DEFAULT(cvScalarAll(0)) );
|
|
|
|
/* Converts mapx & mapy from floating-point to integer formats for cvRemap */
|
|
CVAPI(void) cvConvertMaps( const CvArr* mapx, const CvArr* mapy,
|
|
CvArr* mapxy, CvArr* mapalpha );
|
|
|
|
/* Performs forward or inverse log-polar image transform */
|
|
CVAPI(void) cvLogPolar( const CvArr* src, CvArr* dst,
|
|
CvPoint2D32f center, double M,
|
|
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
|
|
|
|
/* Performs forward or inverse linear-polar image transform */
|
|
CVAPI(void) cvLinearPolar( const CvArr* src, CvArr* dst,
|
|
CvPoint2D32f center, double maxRadius,
|
|
int flags CV_DEFAULT(CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS));
|
|
|
|
/* Transforms the input image to compensate lens distortion */
|
|
CVAPI(void) cvUndistort2( const CvArr* src, CvArr* dst,
|
|
const CvMat* camera_matrix,
|
|
const CvMat* distortion_coeffs,
|
|
const CvMat* new_camera_matrix CV_DEFAULT(0) );
|
|
|
|
/* Computes transformation map from intrinsic camera parameters
|
|
that can used by cvRemap */
|
|
CVAPI(void) cvInitUndistortMap( const CvMat* camera_matrix,
|
|
const CvMat* distortion_coeffs,
|
|
CvArr* mapx, CvArr* mapy );
|
|
|
|
/* Computes undistortion+rectification map for a head of stereo camera */
|
|
CVAPI(void) cvInitUndistortRectifyMap( const CvMat* camera_matrix,
|
|
const CvMat* dist_coeffs,
|
|
const CvMat *R, const CvMat* new_camera_matrix,
|
|
CvArr* mapx, CvArr* mapy );
|
|
|
|
/* Computes the original (undistorted) feature coordinates
|
|
from the observed (distorted) coordinates */
|
|
CVAPI(void) cvUndistortPoints( const CvMat* src, CvMat* dst,
|
|
const CvMat* camera_matrix,
|
|
const CvMat* dist_coeffs,
|
|
const CvMat* R CV_DEFAULT(0),
|
|
const CvMat* P CV_DEFAULT(0));
|
|
|
|
/* creates structuring element used for morphological operations */
|
|
CVAPI(IplConvKernel*) cvCreateStructuringElementEx(
|
|
int cols, int rows, int anchor_x, int anchor_y,
|
|
int shape, int* values CV_DEFAULT(NULL) );
|
|
|
|
/* releases structuring element */
|
|
CVAPI(void) cvReleaseStructuringElement( IplConvKernel** element );
|
|
|
|
/* erodes input image (applies minimum filter) one or more times.
|
|
If element pointer is NULL, 3x3 rectangular element is used */
|
|
CVAPI(void) cvErode( const CvArr* src, CvArr* dst,
|
|
IplConvKernel* element CV_DEFAULT(NULL),
|
|
int iterations CV_DEFAULT(1) );
|
|
|
|
/* dilates input image (applies maximum filter) one or more times.
|
|
If element pointer is NULL, 3x3 rectangular element is used */
|
|
CVAPI(void) cvDilate( const CvArr* src, CvArr* dst,
|
|
IplConvKernel* element CV_DEFAULT(NULL),
|
|
int iterations CV_DEFAULT(1) );
|
|
|
|
/* Performs complex morphological transformation */
|
|
CVAPI(void) cvMorphologyEx( const CvArr* src, CvArr* dst,
|
|
CvArr* temp, IplConvKernel* element,
|
|
int operation, int iterations CV_DEFAULT(1) );
|
|
|
|
/* Calculates all spatial and central moments up to the 3rd order */
|
|
CVAPI(void) cvMoments( const CvArr* arr, CvMoments* moments, int binary CV_DEFAULT(0));
|
|
|
|
/* Retrieve particular spatial, central or normalized central moments */
|
|
CVAPI(double) cvGetSpatialMoment( CvMoments* moments, int x_order, int y_order );
|
|
CVAPI(double) cvGetCentralMoment( CvMoments* moments, int x_order, int y_order );
|
|
CVAPI(double) cvGetNormalizedCentralMoment( CvMoments* moments,
|
|
int x_order, int y_order );
|
|
|
|
/* Calculates 7 Hu's invariants from precalculated spatial and central moments */
|
|
CVAPI(void) cvGetHuMoments( CvMoments* moments, CvHuMoments* hu_moments );
|
|
|
|
/*********************************** data sampling **************************************/
|
|
|
|
/* Fetches pixels that belong to the specified line segment and stores them to the buffer.
|
|
Returns the number of retrieved points. */
|
|
CVAPI(int) cvSampleLine( const CvArr* image, CvPoint pt1, CvPoint pt2, void* buffer,
|
|
int connectivity CV_DEFAULT(8));
|
|
|
|
/* Retrieves the rectangular image region with specified center from the input array.
|
|
dst(x,y) <- src(x + center.x - dst_width/2, y + center.y - dst_height/2).
|
|
Values of pixels with fractional coordinates are retrieved using bilinear interpolation*/
|
|
CVAPI(void) cvGetRectSubPix( const CvArr* src, CvArr* dst, CvPoint2D32f center );
|
|
|
|
|
|
/* Retrieves quadrangle from the input array.
|
|
matrixarr = ( a11 a12 | b1 ) dst(x,y) <- src(A[x y]' + b)
|
|
( a21 a22 | b2 ) (bilinear interpolation is used to retrieve pixels
|
|
with fractional coordinates)
|
|
*/
|
|
CVAPI(void) cvGetQuadrangleSubPix( const CvArr* src, CvArr* dst,
|
|
const CvMat* map_matrix );
|
|
|
|
/* Measures similarity between template and overlapped windows in the source image
|
|
and fills the resultant image with the measurements */
|
|
CVAPI(void) cvMatchTemplate( const CvArr* image, const CvArr* templ,
|
|
CvArr* result, int method );
|
|
|
|
/* Computes earth mover distance between
|
|
two weighted point sets (called signatures) */
|
|
CVAPI(float) cvCalcEMD2( const CvArr* signature1,
|
|
const CvArr* signature2,
|
|
int distance_type,
|
|
CvDistanceFunction distance_func CV_DEFAULT(NULL),
|
|
const CvArr* cost_matrix CV_DEFAULT(NULL),
|
|
CvArr* flow CV_DEFAULT(NULL),
|
|
float* lower_bound CV_DEFAULT(NULL),
|
|
void* userdata CV_DEFAULT(NULL));
|
|
|
|
/****************************************************************************************\
|
|
* Contours retrieving *
|
|
\****************************************************************************************/
|
|
|
|
/* Retrieves outer and optionally inner boundaries of white (non-zero) connected
|
|
components in the black (zero) background */
|
|
CVAPI(int) cvFindContours( CvArr* image, CvMemStorage* storage, CvSeq** first_contour,
|
|
int header_size CV_DEFAULT(sizeof(CvContour)),
|
|
int mode CV_DEFAULT(CV_RETR_LIST),
|
|
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
|
|
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
|
|
|
|
/* Initializes contour retrieving process.
|
|
Calls cvStartFindContours.
|
|
Calls cvFindNextContour until null pointer is returned
|
|
or some other condition becomes true.
|
|
Calls cvEndFindContours at the end. */
|
|
CVAPI(CvContourScanner) cvStartFindContours( CvArr* image, CvMemStorage* storage,
|
|
int header_size CV_DEFAULT(sizeof(CvContour)),
|
|
int mode CV_DEFAULT(CV_RETR_LIST),
|
|
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
|
|
CvPoint offset CV_DEFAULT(cvPoint(0,0)));
|
|
|
|
/* Retrieves next contour */
|
|
CVAPI(CvSeq*) cvFindNextContour( CvContourScanner scanner );
|
|
|
|
|
|
/* Substitutes the last retrieved contour with the new one
|
|
(if the substitutor is null, the last retrieved contour is removed from the tree) */
|
|
CVAPI(void) cvSubstituteContour( CvContourScanner scanner, CvSeq* new_contour );
|
|
|
|
|
|
/* Releases contour scanner and returns pointer to the first outer contour */
|
|
CVAPI(CvSeq*) cvEndFindContours( CvContourScanner* scanner );
|
|
|
|
/* Approximates a single Freeman chain or a tree of chains to polygonal curves */
|
|
CVAPI(CvSeq*) cvApproxChains( CvSeq* src_seq, CvMemStorage* storage,
|
|
int method CV_DEFAULT(CV_CHAIN_APPROX_SIMPLE),
|
|
double parameter CV_DEFAULT(0),
|
|
int minimal_perimeter CV_DEFAULT(0),
|
|
int recursive CV_DEFAULT(0));
|
|
|
|
/* Initializes Freeman chain reader.
|
|
The reader is used to iteratively get coordinates of all the chain points.
|
|
If the Freeman codes should be read as is, a simple sequence reader should be used */
|
|
CVAPI(void) cvStartReadChainPoints( CvChain* chain, CvChainPtReader* reader );
|
|
|
|
/* Retrieves the next chain point */
|
|
CVAPI(CvPoint) cvReadChainPoint( CvChainPtReader* reader );
|
|
|
|
|
|
/****************************************************************************************\
|
|
* Contour Processing and Shape Analysis *
|
|
\****************************************************************************************/
|
|
|
|
/* Approximates a single polygonal curve (contour) or
|
|
a tree of polygonal curves (contours) */
|
|
CVAPI(CvSeq*) cvApproxPoly( const void* src_seq,
|
|
int header_size, CvMemStorage* storage,
|
|
int method, double eps,
|
|
int recursive CV_DEFAULT(0));
|
|
|
|
/* Calculates perimeter of a contour or length of a part of contour */
|
|
CVAPI(double) cvArcLength( const void* curve,
|
|
CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
|
|
int is_closed CV_DEFAULT(-1));
|
|
|
|
CV_INLINE double cvContourPerimeter( const void* contour )
|
|
{
|
|
return cvArcLength( contour, CV_WHOLE_SEQ, 1 );
|
|
}
|
|
|
|
|
|
/* Calculates contour bounding rectangle (update=1) or
|
|
just retrieves pre-calculated rectangle (update=0) */
|
|
CVAPI(CvRect) cvBoundingRect( CvArr* points, int update CV_DEFAULT(0) );
|
|
|
|
/* Calculates area of a contour or contour segment */
|
|
CVAPI(double) cvContourArea( const CvArr* contour,
|
|
CvSlice slice CV_DEFAULT(CV_WHOLE_SEQ),
|
|
int oriented CV_DEFAULT(0));
|
|
|
|
/* Finds minimum area rotated rectangle bounding a set of points */
|
|
CVAPI(CvBox2D) cvMinAreaRect2( const CvArr* points,
|
|
CvMemStorage* storage CV_DEFAULT(NULL));
|
|
|
|
/* Finds minimum enclosing circle for a set of points */
|
|
CVAPI(int) cvMinEnclosingCircle( const CvArr* points,
|
|
CvPoint2D32f* center, float* radius );
|
|
|
|
/* Compares two contours by matching their moments */
|
|
CVAPI(double) cvMatchShapes( const void* object1, const void* object2,
|
|
int method, double parameter CV_DEFAULT(0));
|
|
|
|
/* Calculates exact convex hull of 2d point set */
|
|
CVAPI(CvSeq*) cvConvexHull2( const CvArr* input,
|
|
void* hull_storage CV_DEFAULT(NULL),
|
|
int orientation CV_DEFAULT(CV_CLOCKWISE),
|
|
int return_points CV_DEFAULT(0));
|
|
|
|
/* Checks whether the contour is convex or not (returns 1 if convex, 0 if not) */
|
|
CVAPI(int) cvCheckContourConvexity( const CvArr* contour );
|
|
|
|
|
|
/* Finds convexity defects for the contour */
|
|
CVAPI(CvSeq*) cvConvexityDefects( const CvArr* contour, const CvArr* convexhull,
|
|
CvMemStorage* storage CV_DEFAULT(NULL));
|
|
|
|
/* Fits ellipse into a set of 2d points */
|
|
CVAPI(CvBox2D) cvFitEllipse2( const CvArr* points );
|
|
|
|
/* Finds minimum rectangle containing two given rectangles */
|
|
CVAPI(CvRect) cvMaxRect( const CvRect* rect1, const CvRect* rect2 );
|
|
|
|
/* Finds coordinates of the box vertices */
|
|
CVAPI(void) cvBoxPoints( CvBox2D box, CvPoint2D32f pt[4] );
|
|
|
|
/* Initializes sequence header for a matrix (column or row vector) of points -
|
|
a wrapper for cvMakeSeqHeaderForArray (it does not initialize bounding rectangle!!!) */
|
|
CVAPI(CvSeq*) cvPointSeqFromMat( int seq_kind, const CvArr* mat,
|
|
CvContour* contour_header,
|
|
CvSeqBlock* block );
|
|
|
|
/* Checks whether the point is inside polygon, outside, on an edge (at a vertex).
|
|
Returns positive, negative or zero value, correspondingly.
|
|
Optionally, measures a signed distance between
|
|
the point and the nearest polygon edge (measure_dist=1) */
|
|
CVAPI(double) cvPointPolygonTest( const CvArr* contour,
|
|
CvPoint2D32f pt, int measure_dist );
|
|
|
|
/****************************************************************************************\
|
|
* Histogram functions *
|
|
\****************************************************************************************/
|
|
|
|
/* Creates new histogram */
|
|
CVAPI(CvHistogram*) cvCreateHist( int dims, int* sizes, int type,
|
|
float** ranges CV_DEFAULT(NULL),
|
|
int uniform CV_DEFAULT(1));
|
|
|
|
/* Assignes histogram bin ranges */
|
|
CVAPI(void) cvSetHistBinRanges( CvHistogram* hist, float** ranges,
|
|
int uniform CV_DEFAULT(1));
|
|
|
|
/* Creates histogram header for array */
|
|
CVAPI(CvHistogram*) cvMakeHistHeaderForArray(
|
|
int dims, int* sizes, CvHistogram* hist,
|
|
float* data, float** ranges CV_DEFAULT(NULL),
|
|
int uniform CV_DEFAULT(1));
|
|
|
|
/* Releases histogram */
|
|
CVAPI(void) cvReleaseHist( CvHistogram** hist );
|
|
|
|
/* Clears all the histogram bins */
|
|
CVAPI(void) cvClearHist( CvHistogram* hist );
|
|
|
|
/* Finds indices and values of minimum and maximum histogram bins */
|
|
CVAPI(void) cvGetMinMaxHistValue( const CvHistogram* hist,
|
|
float* min_value, float* max_value,
|
|
int* min_idx CV_DEFAULT(NULL),
|
|
int* max_idx CV_DEFAULT(NULL));
|
|
|
|
|
|
/* Normalizes histogram by dividing all bins by sum of the bins, multiplied by <factor>.
|
|
After that sum of histogram bins is equal to <factor> */
|
|
CVAPI(void) cvNormalizeHist( CvHistogram* hist, double factor );
|
|
|
|
|
|
/* Clear all histogram bins that are below the threshold */
|
|
CVAPI(void) cvThreshHist( CvHistogram* hist, double threshold );
|
|
|
|
|
|
/* Compares two histogram */
|
|
CVAPI(double) cvCompareHist( const CvHistogram* hist1,
|
|
const CvHistogram* hist2,
|
|
int method);
|
|
|
|
/* Copies one histogram to another. Destination histogram is created if
|
|
the destination pointer is NULL */
|
|
CVAPI(void) cvCopyHist( const CvHistogram* src, CvHistogram** dst );
|
|
|
|
|
|
/* Calculates bayesian probabilistic histograms
|
|
(each or src and dst is an array of <number> histograms */
|
|
CVAPI(void) cvCalcBayesianProb( CvHistogram** src, int number,
|
|
CvHistogram** dst);
|
|
|
|
/* Calculates array histogram */
|
|
CVAPI(void) cvCalcArrHist( CvArr** arr, CvHistogram* hist,
|
|
int accumulate CV_DEFAULT(0),
|
|
const CvArr* mask CV_DEFAULT(NULL) );
|
|
|
|
CV_INLINE void cvCalcHist( IplImage** image, CvHistogram* hist,
|
|
int accumulate CV_DEFAULT(0),
|
|
const CvArr* mask CV_DEFAULT(NULL) )
|
|
{
|
|
cvCalcArrHist( (CvArr**)image, hist, accumulate, mask );
|
|
}
|
|
|
|
/* Calculates back project */
|
|
CVAPI(void) cvCalcArrBackProject( CvArr** image, CvArr* dst,
|
|
const CvHistogram* hist );
|
|
#define cvCalcBackProject(image, dst, hist) cvCalcArrBackProject((CvArr**)image, dst, hist)
|
|
|
|
|
|
/* Does some sort of template matching but compares histograms of
|
|
template and each window location */
|
|
CVAPI(void) cvCalcArrBackProjectPatch( CvArr** image, CvArr* dst, CvSize range,
|
|
CvHistogram* hist, int method,
|
|
double factor );
|
|
#define cvCalcBackProjectPatch( image, dst, range, hist, method, factor ) \
|
|
cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )
|
|
|
|
|
|
/* calculates probabilistic density (divides one histogram by another) */
|
|
CVAPI(void) cvCalcProbDensity( const CvHistogram* hist1, const CvHistogram* hist2,
|
|
CvHistogram* dst_hist, double scale CV_DEFAULT(255) );
|
|
|
|
/* equalizes histogram of 8-bit single-channel image */
|
|
CVAPI(void) cvEqualizeHist( const CvArr* src, CvArr* dst );
|
|
|
|
|
|
/* Applies distance transform to binary image */
|
|
CVAPI(void) cvDistTransform( const CvArr* src, CvArr* dst,
|
|
int distance_type CV_DEFAULT(CV_DIST_L2),
|
|
int mask_size CV_DEFAULT(3),
|
|
const float* mask CV_DEFAULT(NULL),
|
|
CvArr* labels CV_DEFAULT(NULL),
|
|
int labelType CV_DEFAULT(CV_DIST_LABEL_CCOMP));
|
|
|
|
|
|
/* Applies fixed-level threshold to grayscale image.
|
|
This is a basic operation applied before retrieving contours */
|
|
CVAPI(double) cvThreshold( const CvArr* src, CvArr* dst,
|
|
double threshold, double max_value,
|
|
int threshold_type );
|
|
|
|
/* Applies adaptive threshold to grayscale image.
|
|
The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and
|
|
CV_ADAPTIVE_THRESH_GAUSSIAN_C are:
|
|
neighborhood size (3, 5, 7 etc.),
|
|
and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...) */
|
|
CVAPI(void) cvAdaptiveThreshold( const CvArr* src, CvArr* dst, double max_value,
|
|
int adaptive_method CV_DEFAULT(CV_ADAPTIVE_THRESH_MEAN_C),
|
|
int threshold_type CV_DEFAULT(CV_THRESH_BINARY),
|
|
int block_size CV_DEFAULT(3),
|
|
double param1 CV_DEFAULT(5));
|
|
|
|
/* Fills the connected component until the color difference gets large enough */
|
|
CVAPI(void) cvFloodFill( CvArr* image, CvPoint seed_point,
|
|
CvScalar new_val, CvScalar lo_diff CV_DEFAULT(cvScalarAll(0)),
|
|
CvScalar up_diff CV_DEFAULT(cvScalarAll(0)),
|
|
CvConnectedComp* comp CV_DEFAULT(NULL),
|
|
int flags CV_DEFAULT(4),
|
|
CvArr* mask CV_DEFAULT(NULL));
|
|
|
|
/****************************************************************************************\
|
|
* Feature detection *
|
|
\****************************************************************************************/
|
|
|
|
/* Runs canny edge detector */
|
|
CVAPI(void) cvCanny( const CvArr* image, CvArr* edges, double threshold1,
|
|
double threshold2, int aperture_size CV_DEFAULT(3) );
|
|
|
|
/* Calculates constraint image for corner detection
|
|
Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy.
|
|
Applying threshold to the result gives coordinates of corners */
|
|
CVAPI(void) cvPreCornerDetect( const CvArr* image, CvArr* corners,
|
|
int aperture_size CV_DEFAULT(3) );
|
|
|
|
/* Calculates eigen values and vectors of 2x2
|
|
gradient covariation matrix at every image pixel */
|
|
CVAPI(void) cvCornerEigenValsAndVecs( const CvArr* image, CvArr* eigenvv,
|
|
int block_size, int aperture_size CV_DEFAULT(3) );
|
|
|
|
/* Calculates minimal eigenvalue for 2x2 gradient covariation matrix at
|
|
every image pixel */
|
|
CVAPI(void) cvCornerMinEigenVal( const CvArr* image, CvArr* eigenval,
|
|
int block_size, int aperture_size CV_DEFAULT(3) );
|
|
|
|
/* Harris corner detector:
|
|
Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel */
|
|
CVAPI(void) cvCornerHarris( const CvArr* image, CvArr* harris_response,
|
|
int block_size, int aperture_size CV_DEFAULT(3),
|
|
double k CV_DEFAULT(0.04) );
|
|
|
|
/* Adjust corner position using some sort of gradient search */
|
|
CVAPI(void) cvFindCornerSubPix( const CvArr* image, CvPoint2D32f* corners,
|
|
int count, CvSize win, CvSize zero_zone,
|
|
CvTermCriteria criteria );
|
|
|
|
/* Finds a sparse set of points within the selected region
|
|
that seem to be easy to track */
|
|
CVAPI(void) cvGoodFeaturesToTrack( const CvArr* image, CvArr* eig_image,
|
|
CvArr* temp_image, CvPoint2D32f* corners,
|
|
int* corner_count, double quality_level,
|
|
double min_distance,
|
|
const CvArr* mask CV_DEFAULT(NULL),
|
|
int block_size CV_DEFAULT(3),
|
|
int use_harris CV_DEFAULT(0),
|
|
double k CV_DEFAULT(0.04) );
|
|
|
|
/* Finds lines on binary image using one of several methods.
|
|
line_storage is either memory storage or 1 x <max number of lines> CvMat, its
|
|
number of columns is changed by the function.
|
|
method is one of CV_HOUGH_*;
|
|
rho, theta and threshold are used for each of those methods;
|
|
param1 ~ line length, param2 ~ line gap - for probabilistic,
|
|
param1 ~ srn, param2 ~ stn - for multi-scale */
|
|
CVAPI(CvSeq*) cvHoughLines2( CvArr* image, void* line_storage, int method,
|
|
double rho, double theta, int threshold,
|
|
double param1 CV_DEFAULT(0), double param2 CV_DEFAULT(0));
|
|
|
|
/* Finds circles in the image */
|
|
CVAPI(CvSeq*) cvHoughCircles( CvArr* image, void* circle_storage,
|
|
int method, double dp, double min_dist,
|
|
double param1 CV_DEFAULT(100),
|
|
double param2 CV_DEFAULT(100),
|
|
int min_radius CV_DEFAULT(0),
|
|
int max_radius CV_DEFAULT(0));
|
|
|
|
/* Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) */
|
|
CVAPI(void) cvFitLine( const CvArr* points, int dist_type, double param,
|
|
double reps, double aeps, float* line );
|
|
|
|
#ifdef __cplusplus
|
|
}
|
|
#endif
|
|
|
|
#endif
|
|
|