Computer Revelation System Based Classification of Intact Cashew Grading System

Computer vision provides one alternative for an aut omated, non accomplish these requirements. This inspection appr oach variety of different applications in the food indus try.This paper proposed an intelligent fuzzy logic based computer vision system for classification of whole cashew ke rnels by assigning the grades. Propos various phases. Image acquisition phase captures im ages of the cashew kernel under investigation. Pre phase smoothes acquired image to handle distortion. The cashew part (region of interest) is differenti ated from the background part of the image in segmentation phase. In this system color along with other morphologica l 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 cash ew kernel is decided based on the result of the cla ssification. Keyword : Cashew kernel, Computer revelation system, Fuzzy inference system, Grade, Quality. Abstract Computer vision provides one alternative for an aut omated, non -destructive and cost-effective technique to accomplish these requirements. This inspection appr oach based on image analysis and processing has found a variety of different applications in the food indus try.This paper proposed an intelligent fuzzy logic based computer vision system for classification of whole cashew ke rnels by assigning the grades. Propos ed approach is divided into various phases. Image acquisition phase captures im ages of the cashew kernel under investigation. Pre phase smoothes acquired image to handle distortion. The cashew part (region of interest) is differenti ated from the background part of the image in segmentation phase. In this system color along with other morphologica l features such as length, width and thickness are considered as essential features, and extracted in the feature extraction phase. information is fuzzified and taken as input to the fuzzy inference system (FIS) during the fuzzy classification phase. Final grade of the cash ew kernel is decided based on the result of the cla ssification. : Cashew kernel, Computer revelation system, Fuzzy inference system, Grade, Quality. effective technique to based on image analysis and processing has found a variety of different applications in the food indus try.This paper proposed an intelligent fuzzy logic based computer ed approach is divided into various phases. Image acquisition phase captures im ages of the cashew kernel under investigation. Pre -processing phase smoothes acquired image to handle distortion. The cashew part (region of interest) is differenti ated from the background part of the image in segmentation phase. In this system color along with other morphologica l features such as length, width and thickness are considered as essential features, and extracted in the feature extraction phase. information is fuzzified and taken as input to the fuzzy inference system (FIS) during the fuzzy classification phase. Final grade of the cash ew kernel is decided based on the result of the cla ssification. : Cashew kernel, Computer revelation system, Fuzzy inference system, Grade, Quality. has long been recognized (Tillett, 1990) and the fo od industry is now ranked among the top 10 industries