sod_img sod_hilditch_thin_image(sod_img input);
Thinning of binary images by Hilditch's algorithm. Skeletonization is useful when we are interested not in the size of the pattern but rather in the relative position of the strokes in the pattern (Character Recognition, X, Y Chromosome Recognition, etc.).
The target image must be binary (i.e. images whose pixels have only two possible intensity value mostly black or white). You can obtain a binary image via sod_canny_edge_image(), sod_otsu_binarize_image(), sod_binarize_image() or sod_threshold_image(). A typical input image should look like the following after processing:
Input picture binarized via sod_threshold_image()
The input image to be processed which must be binary. The image can be loaded from disk using sod_img_load_from_file(), from memory (i.e. network socket) via sod_img_load_from_mem() or dynamically created via sod_make_image().
Processed image is returned in an instance of the sod_img object. if something goes wrong during processing, then an empty image is returned via sod_make_empty_image(). Once done, you must release the memory allocated to this object via sod_free_image() to avoid memory leaks.
Checkout the introduction course, the C/C++ samples on the download page or refer to the SOD Github Repository.
sod_canny_edge_image • sod_minutiae • sod_image_find_blobs • sod_hough_lines_detect • sod_crop_image • sod_resize_image.Back