Apple Grading using Image Processing

Abstract

Here in this project report we have presented a method to grade the apples using Image processing techniques. We have graded apples on the basis of parameters like colour, size, disease and maturity level of the apple. We have used colour ratio method to segregate apples on the basis of their colour. In this technique we have segregated RGB image of the apple into R plane, G plane and B plane. After this we have taken mean value of each plane and hence calculated the ratio of R plane to G plane .On the basis of this ratio we have classified apples into four categories i.e. Green , Yellow, Light red and Bright red. To segregate apples on basis of their size we have found the area by converting image into black and white and then calculating no. of white pixels. On the basis of area we have classified the apples into three sizes i.e. Small, Medium and Big. To find the percentage of diseased area of apple we have used thresholding technique like Otsu’s and sauvola thresholding technique. The Fuzzy logic has been implanted to find the maturity level of apple.