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Assessment of Object Segmentation Techniques for Object Based Image Retrieval
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
Objects relates more to human perception than any other attributes of an image. Image segmentation is a significant image processing technique to get the objects from complex image background. This work assesses the techniques of segmentation from basic global thresholding, edge based methods up to the advanced techniques such as K-means, Active Contour Model (Snakes) segmentation approaches. Later, results are post processed with the help of morphological operations and make them suitable for
doi:10.35940/ijitee.b1048.1292s19
fatcat:d7wggcphlnhclo6tydvqz4s2hq