A Comparative Study of Fruit Defect Segmentation Techniques

Abstract

This paper elaborates different methods of image segmentation proposed on various fruit images. There are many ways to segment the image modified for a special need. One method is not applicable to all images to get the desired output. In this paper, defective fruit images are taken for segmentation. By applying various segmentation algorithms, the best methods are observed by comparing the results. There are many ways to implement image segmentation. In this paper various methods like k-means, edge detection, watershed and thresholding is applied for fruit defect segmentation.