Image processing techniques have been used in fruit industry extensively. This shows great results in fruit sorting, classification, ripeness detection, and flaws detection and segmentation. Combining different image processing methods such as filtering, enhancement, and edge detection can provide good and promising results in fruit flaws segmentation. In this work, we attempt to detect the flaws in apple fruits by creating an algorithm based on image processing. This algorithm is a bunch of image processing techniques such median filtering, followed by image enhancement to remove noise from images and to increase their pixel intensities. Moreover, edge detection is used for finding edges of the flaws found in apple images. Image fusion is then used in order to contour the flaws found in apples by putting the segmented and original image on each other’s. Finally, the system was tested on many images and it showed a good performance in finding and contouring the flaws in apple fruit images.

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