An Improved Segmentation Algorithm for Detecting Defects on Fruit Surface

Images are the best tool for the information to be visualize and analyze it further. Thus, for this purpose and to extract information and features, image segmentation has been used. The popularity of image segmentation has achieved a remark in the few years. Its application has been increasing day by day. It is a great field of interest for the researchers. It is used in medical, agricultural, engineering, security, industrial and many more fields. Even for the layman it is a boon. Image segmentation refers to the procedure of dividing an image into segments which further process for finding the desired results. Based on the characteristic and properties of an image, an outline is formed for segmentation. In this paper the focus is on finding the defects of apple such as fungal growth, bruising, scab and disease which is harmful for the humans. Different methods have been used for finding the defects by image segmentation such as Gabor Method, Clustering, Edge Detection, Otsu Method and Watershed Method. We have compared different methods and find the best result.