Module opencv::cudaimgproc [−][src]
Expand description
Modules
Enums
Constants
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Bayer Demosaicing (Malvar, He, and Cutler)
Traits
Base class for Contrast Limited Adaptive Histogram Equalization. :
Base class for Canny Edge Detector. :
Base class for Cornerness Criteria computation. :
Base class for Corners Detector. :
Base class for circles detector algorithm. :
Base class for lines detector algorithm. :
Base class for line segments detector algorithm. :
Base class for Template Matching. :
Functions
Composites two images using alpha opacity values contained in each image.
Performs bilateral filtering of passed image
Performs linear blending of two images.
Calculates histogram for one channel 8-bit image.
Calculates histogram for one channel 8-bit image confined in given mask.
Creates implementation for cuda::CannyEdgeDetector .
Creates implementation for cuda::CLAHE .
Creates implementation for generalized hough transform from Ballard1981 .
Creates implementation for generalized hough transform from Guil1999 .
Creates implementation for cuda::CornersDetector .
Creates implementation for Harris cornerness criteria.
Creates implementation for cuda::HoughCirclesDetector .
Creates implementation for cuda::HoughLinesDetector .
Creates implementation for cuda::HoughSegmentDetector .
Creates implementation for the minimum eigen value of a 2x2 derivative covariation matrix (the cornerness criteria).
Creates implementation for cuda::TemplateMatching .
Converts an image from one color space to another.
Converts an image from Bayer pattern to RGB or grayscale.
Equalizes the histogram of a grayscale image.
Computes levels with even distribution.
Routines for correcting image color gamma.
Calculates a histogram with evenly distributed bins.
Calculates a histogram with bins determined by the levels array.
Performs mean-shift filtering for each point of the source image.
Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.
Performs a mean-shift segmentation of the source image and eliminates small segments.
Exchanges the color channels of an image in-place.