MATLAB Implementation of Image Segmentation Using Drop Fall Algorithm

S Mangayarkarasi, E Naveena

Abstract


Image engineering is the most prominent area in the progressing electronics world. The crucial step in image engineering is image segmentation (under image analysis) since it involves extraction of useful information from the images. Usually it commences with extrication of image from background. The main objective of image segmentation is extrication of relevant parts. In the systematized world automatic image analysis is most demanding chore which is the middle layer of image engineering. By using MATLaB an algorithmic code is instigated. Drop fall algorithm fakes an object such as a drop of water and trundle above the input whether characters or numbers and glide down the contours. The algorithm is similar to hit and deflects strategies in selecting starting point and track certain conventions. The MATLaB implemented image segmentation process treasures a life sized application in the area of diagnosing cancer cells and recognition of iris and fingerprint in forensic field.


Keywords


Image Engineering, Image Analysis, Image Segmentation, MATLab, Drop Fall Algorithm.

References


Digital image processing -Rafacel C. Gonzalez

Image segmentation and extraction Richard E. woods

www.wikipidea.com

www.studentstechnogy.com

www.everlight.com

www.alldatasheets.com


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