An image segmentation approach for fruit defect detection using k-means clustering and graph-based algorithm

Machine vision has been introduced in variety of industrial applications for fruit processing, allowing the automation of tasks performed so far by human operators. Such an important task is the detection of defects present on fruit peel which helps to grade or to classify fruit quality.