Computer Revelation System Based Classification of Intact Cashew Grading System

Computer vision provides one alternative for an automated, non accomplish these requirements. This inspection approach variety of different applications in the food industry.This paper proposed an intelligent fuzzy logic based computer vision system for classification of whole cashew kernels by assigning the grades. Propos various phases. Image acquisition phase captures images of the cashew kernel under investigation. Pre phase smoothes acquired image to handle distortion. The cashew part (region of interest) is differentiated from the background part of the image in segmentation phase. In this system color along with other morphological features such as length, width and thickness are considered as essential features, and extracted in the feature extraction phase. Obtained quantitative information is fuzzified and taken as input to the fuzzy inference system (FIS) during the fuzzy classification phase. Final grade of the cashew kernel is decided based on the result