Segmentation Techniques for Rotten Fruit detection

Segmentation technique to detect a vegetable quality is a very useful method. An automated system if coupled with such technique would be very helpful in sorting the fresh and the rotten vegetables. The purpose of this research paper is to provide an approach for the segmentation of the rotten vegetables to annihilate infirmity with respect to human health. Segmentation technique such as Marker Based Segmentation, Colour Based Segmentation and Edge Detection, produced promising and effective results. Through the above mentioned segmentation techniques, the rotten portions of a vegetable is detected effectively to separate the unhealthy vegetables from the good ones. Sorting of vegetables for any food product manufacturing unit with the aid of an automated system would reduce time and manpower with greater accuracy. The methods used for detection of rotten vegetables undergo a multi-level analysis. The evaluation for each method was done on eight sets of images (containing healthy and rotten vegetables) and the experimental results validate the potency of the suggested technique.