Color Image Segmentation for Fruit Ripeness Detection: A Review

In this paper, we are representing different techniques to detect the rate of ripeness of fruits and vegetables. This paper reports techniques like histogram matching, clustering algorithms based image segmentation and relative value of parameter based segmentation. Each technique uses coloured images of fruits and vegetables as input data. In these techniques we set some threshold levels. By comparing the input data image with these threshold levels we can find the maturity level of given fruits and vegetables.