Module opencv::cudaimgproc

Image Processing

Color space processing

Histogram Calculation

Hough Transform

Feature Detection

Modules

• prelude

Enums

• CUDA_AlphaCompTypes
• CUDA_ConnectedComponentsAlgorithmsTypes
  Connected Components Algorithm
• CUDA_DemosaicTypes

Constants

• CUDA_ALPHA_ATOP
• CUDA_ALPHA_ATOP_PREMUL
• CUDA_ALPHA_IN
• CUDA_ALPHA_IN_PREMUL
• CUDA_ALPHA_OUT
• CUDA_ALPHA_OUT_PREMUL
• CUDA_ALPHA_OVER
• CUDA_ALPHA_OVER_PREMUL
• CUDA_ALPHA_PLUS
• CUDA_ALPHA_PLUS_PREMUL
• CUDA_ALPHA_PREMUL
• CUDA_ALPHA_XOR
• CUDA_ALPHA_XOR_PREMUL
• CUDA_CCL_BKE
  BKE Allegretti2019 algorithm for 8-way connectivity.
• CUDA_CCL_DEFAULT
  BKE Allegretti2019 algorithm for 8-way connectivity.
• CUDA_COLOR_BayerBG2BGR_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerBG2GRAY_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerBG2RGB_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGB2BGR_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGB2GRAY_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGB2RGB_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGR2BGR_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGR2GRAY_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerGR2RGB_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerRG2BGR_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerRG2GRAY_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)
• CUDA_COLOR_BayerRG2RGB_MHT
  Bayer Demosaicing (Malvar, He, and Cutler)

Traits

• CUDA_CLAHE
  Base class for Contrast Limited Adaptive Histogram Equalization. :
• CUDA_CLAHEConst
  Constant methods for crate::cudaimgproc::CUDA_CLAHE
• CUDA_CannyEdgeDetector
  Base class for Canny Edge Detector. :
• CUDA_CannyEdgeDetectorConst
  Constant methods for crate::cudaimgproc::CUDA_CannyEdgeDetector
• CUDA_CornernessCriteria
  Base class for Cornerness Criteria computation. :
• CUDA_CornernessCriteriaConst
  Constant methods for crate::cudaimgproc::CUDA_CornernessCriteria
• CUDA_CornersDetector
  Base class for Corners Detector. :
• CUDA_CornersDetectorConst
  Constant methods for crate::cudaimgproc::CUDA_CornersDetector
• CUDA_HoughCirclesDetector
  Base class for circles detector algorithm. :
• CUDA_HoughCirclesDetectorConst
  Constant methods for crate::cudaimgproc::CUDA_HoughCirclesDetector
• CUDA_HoughLinesDetector
  Base class for lines detector algorithm. :
• CUDA_HoughLinesDetectorConst
  Constant methods for crate::cudaimgproc::CUDA_HoughLinesDetector
• CUDA_HoughSegmentDetector
  Base class for line segments detector algorithm. :
• CUDA_HoughSegmentDetectorConst
  Constant methods for crate::cudaimgproc::CUDA_HoughSegmentDetector
• CUDA_TemplateMatching
  Base class for Template Matching. :
• CUDA_TemplateMatchingConst
  Constant methods for crate::cudaimgproc::CUDA_TemplateMatching

Functions

• alpha_comp
  Composites two images using alpha opacity values contained in each image.
• bilateral_filter
  Performs bilateral filtering of passed image
• blend_linear
  Performs linear blending of two images.
• calc_hist
  Calculates histogram for one channel 8-bit image.
• calc_hist_1
  Calculates histogram for one channel 8-bit image confined in given mask.
• connected_components
  Computes the Connected Components Labeled image of a binary image.
• connected_components_with_algorithm
  Computes the Connected Components Labeled image of a binary image.
• create_canny_edge_detector
  Creates implementation for cuda::CannyEdgeDetector .
• create_clahe
  Creates implementation for cuda::CLAHE .
• create_generalized_hough_ballard
  Creates implementation for generalized hough transform from Ballard1981 .
• create_generalized_hough_guil
  Creates implementation for generalized hough transform from Guil1999 .
• create_good_features_to_track_detector
  Creates implementation for cuda::CornersDetector .
• create_harris_corner
  Creates implementation for Harris cornerness criteria.
• create_hough_circles_detector
  Creates implementation for cuda::HoughCirclesDetector .
• create_hough_lines_detector
  Creates implementation for cuda::HoughLinesDetector .
• create_hough_segment_detector
  Creates implementation for cuda::HoughSegmentDetector .
• create_min_eigen_val_corner
  Creates implementation for the minimum eigen value of a 2x2 derivative covariation matrix (the cornerness criteria).
• create_template_matching
  Creates implementation for cuda::TemplateMatching .
• cvt_color
  Converts an image from one color space to another.
• demosaicing
  Converts an image from Bayer pattern to RGB or grayscale.
• equalize_hist
  Equalizes the histogram of a grayscale image.
• even_levels
  Computes levels with even distribution.
• gamma_correction
  Routines for correcting image color gamma.
• hist_even
  Calculates a histogram with evenly distributed bins.
• hist_range
  Calculates a histogram with bins determined by the levels array.
• mean_shift_filtering
  Performs mean-shift filtering for each point of the source image.
• mean_shift_proc
  Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.
• mean_shift_segmentation
  Performs a mean-shift segmentation of the source image and eliminates small segments.
• swap_channels
  Exchanges the color channels of an image in-place.