Segmentation of RGB Images: Methods and Algorithms

In the article describes the methods for edge detection and threshold processing of color images, special attention was paid to the mathematical representations of image processing using data segmentation, methods for detecting contour differences in color images are examined, the basics of threshold brightness conversion in color images are studied. The gradient method, filtering, algorithm for selecting object contours on color images describes the main position of image filtering: image smoothing algorithms; soothing for an additive model; smoothing for the pulse noise model; enhances the details in images; the application of ranking algorithms. Learned the parameters of gradient method selection of object contours in color images; segmentation of RGB images; two-dimensional image smoothing; algorithm for smoothing the contours of objects in color images. Introduced the generalized linear filtering and holomorphic image processing. Realization the software implementation for selecting object contours on color image