OpenCV
4.0.0
Open Source Computer Vision
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Classes | |
struct | CensusKernel |
A kernel in which a pixel is compared with the center of the window. More... | |
class | CombinedDescriptor |
class | Matching |
struct | MCTKernel |
class | MeanKernelIntegralImage |
struct | ModifiedCsCensus |
struct | MVKernel |
class | StarKernelCensus |
implementation for the star kernel descriptor More... | |
class | StereoBinaryBM |
Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More... | |
class | StereoBinarySGBM |
The class implements the modified H. Hirschmuller algorithm [90] that differs from the original one as follows: More... | |
class | StereoMatcher |
Filters off small noise blobs (speckles) in the disparity map. More... | |
class | SymetricCensus |
paralel implementation of the center symetric census More... | |
Enumerations | |
enum | { CV_DENSE_CENSUS, CV_SPARSE_CENSUS, CV_CS_CENSUS, CV_MODIFIED_CS_CENSUS, CV_MODIFIED_CENSUS_TRANSFORM, CV_MEAN_VARIATION, CV_STAR_KERNEL } |
enum | { CV_SPECKLE_REMOVAL_ALGORITHM, CV_SPECKLE_REMOVAL_AVG_ALGORITHM } |
speckle removal algorithms. These algorithms have the purpose of removing small regions More... | |
enum | { CV_QUADRATIC_INTERPOLATION, CV_SIMETRICV_INTERPOLATION } |
subpixel interpolationm methods for disparities. More... | |
Functions | |
void | censusTransform (const cv::Mat &image1, const cv::Mat &image2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type) |
void | censusTransform (const cv::Mat &image1, int kernelSize, cv::Mat &dist1, const int type) |
void | imageMeanKernelSize (const cv::Mat &img, int windowSize, cv::Mat &c) |
void | modifiedCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type, int t=0, const cv::Mat &IntegralImage1=cv::Mat::zeros(100, 100, CV_8UC1), const cv::Mat &IntegralImage2=cv::Mat::zeros(100, 100, CV_8UC1)) |
void | modifiedCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist, const int type, int t=0, const cv::Mat &IntegralImage=cv::Mat::zeros(100, 100, CV_8UC1)) |
void | starCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2) |
void | starCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist) |
void | symetricCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type) |
void | symetricCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist1, const int type) |
anonymous enum |
void cv::stereo::censusTransform | ( | const cv::Mat & | image1, |
const cv::Mat & | image2, | ||
int | kernelSize, | ||
cv::Mat & | dist1, | ||
cv::Mat & | dist2, | ||
const int | type | ||
) |
Two variations of census applied on input images Implementation of a census transform which is taking into account just the some pixels from the census kernel thus allowing for larger block sizes
void cv::stereo::censusTransform | ( | const cv::Mat & | image1, |
int | kernelSize, | ||
cv::Mat & | dist1, | ||
const int | type | ||
) |
void cv::stereo::modifiedCensusTransform | ( | const cv::Mat & | img1, |
const cv::Mat & | img2, | ||
int | kernelSize, | ||
cv::Mat & | dist1, | ||
cv::Mat & | dist2, | ||
const int | type, | ||
int | t = 0 , |
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const cv::Mat & | IntegralImage1 = cv::Mat::zeros(100, 100, CV_8UC1) , |
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const cv::Mat & | IntegralImage2 = cv::Mat::zeros(100, 100, CV_8UC1) |
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STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel
void cv::stereo::modifiedCensusTransform | ( | const cv::Mat & | img1, |
int | kernelSize, | ||
cv::Mat & | dist, | ||
const int | type, | ||
int | t = 0 , |
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const cv::Mat & | IntegralImage = cv::Mat::zeros(100, 100, CV_8UC1) |
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) |
void cv::stereo::starCensusTransform | ( | const cv::Mat & | img1, |
const cv::Mat & | img2, | ||
int | kernelSize, | ||
cv::Mat & | dist1, | ||
cv::Mat & | dist2 | ||
) |
void cv::stereo::symetricCensusTransform | ( | const cv::Mat & | img1, |
const cv::Mat & | img2, | ||
int | kernelSize, | ||
cv::Mat & | dist1, | ||
cv::Mat & | dist2, | ||
const int | type | ||
) |
The classical center symetric census A modified version of cs census which is comparing a pixel with its correspondent after the center