DEFECT IDENTIFICATION IN THE FRUIT APPLE USING K-MEANS COLOR IMAGE SEGMENTATION ALGORITHM

Abstract

To propose a variation in the already existing algorithm to find whether an apple is defected or not, is the primary objective of this paper. The defected part on an apple’s image is identified using K-means segmentation algorithm. Color images of Apples with certain defects are taken as input dataset for applying the newly proposed algorithm. Color components of an apple’s image are used for segmentation. K-means clustering technique – an iterative process is used to partition an apple’s image into k clusters. Pixels are clustered based on color intensity values and images are generated to identify the defected part. After detecting the defected part, image enhancement is done using median filter in order to enhance the defected part and which in turn will increase the efficiency of classification process in the proposed algorithm. The experimental study clarifies the effectiveness of both the already existing method and newly proposed method.