Documentation of 'boofcv.alg.segmentation.ImageSegmentationOps' Java class
ImageSegmentationOps
boofcv.alg.segmentation

Class ImageSegmentationOps



  • public class ImageSegmentationOps
    extends java.lang.Object
    Useful functions related to image segmentation
    • Constructor Detail

      • ImageSegmentationOps

        public ImageSegmentationOps()
    • Method Detail

      • countRegionPixels

        public static int countRegionPixels(GrayS32 labeled,
                                            int which)
        Counts the number of instances of 'which' inside the labeled image.
        Parameters:
        labeled - Image which has been labeled
        which - The label being searched for
        Returns:
        Number of instances of 'which' in 'labeled'
      • countRegionPixels

        public static void countRegionPixels(GrayS32 labeled,
                                             int totalRegions,
                                             int[] counts)
        Counts the number of pixels in all regions. Regions must be have labels from 0 to totalRegions-1.
        Parameters:
        labeled - (Input) labeled image
        totalRegions - Total number of regions
        counts - Storage for pixel counts
      • regionPixelId_to_Compact

        public static void regionPixelId_to_Compact(GrayS32 graph,
                                                    GrowQueue_I32 segmentId,
                                                    GrayS32 output)
        Compacts the region labels such that they are consecutive numbers starting from 0. The ID of a root node must the index of a pixel in the 'graph' image, taking in account the change in coordinates for sub-images.
        Parameters:
        graph - Input segmented image where the ID's are not compacted
        segmentId - List of segment ID's. See comment above about what ID's are acceptable.
        output - The new image after it has been compacted
      • markRegionBorders

        public static void markRegionBorders(GrayS32 labeled,
                                             GrayU8 output)
        Indicates border pixels between two regions. If two adjacent pixels (4-connect) are not from the same region then both pixels are marked as true (value of 1) in output image, all other pixels are false (0).
        Parameters:
        labeled - Input segmented image.
        output - Output binary image. 1 for border pixels.

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