Implementation of Region Growing Method for Image Segmentation

MATLAB 953B 227 views 0 downloads 1 credits
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Resource Overview

This program implements region growing algorithm for image segmentation with four input parameters: 1) x-coordinate of seed point, 2) y-coordinate of seed point, 3) input image for segmentation, 4) threshold value used during region growth. The algorithm uses pixel connectivity and similarity criteria to expand regions from seed points.

Detailed Documentation

This program implements the region growing algorithm for image segmentation. The core algorithm operates by starting from specified seed point coordinates and expanding regions based on pixel similarity using a predetermined threshold value. The implementation requires the input image as one of the key parameters. The program accepts four parameters in total: the first two parameters define the x and y coordinates of the seed point, the third parameter is the input image to be segmented, and the fourth parameter specifies the threshold value used during the region growth process. This method is particularly useful when you need to perform image segmentation tasks, as it efficiently groups pixels with similar properties into coherent regions using neighborhood connectivity analysis and intensity comparison against the threshold value.

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