THE QUALITY IDENTIFICATION OF FRUITS IN IMAGE PROCESSING USING MATLAB

Alok Mishra, Pallavi Asthana, Pooja Khanna

Abstract: The ability to identify the fruits based on quality in the food industry which is the most important technology in the realization of automatic fruit sorting machine in order to reduce the work of human and also time consuming. This work presents a hierarchical grading method applied to the Fruits. In this work the identification of good and bad Fruits is focused on the methods using MATLAB. First we extract certain features from t he input fruit image, later using different method like thresholding, segmentation, k-means clustering and thus we get related databases. Comparing several trained databases, we get a specific range for the good and bad fruits. From the proposed range we can identify the good and bad fruits. Thus this paper analysis the good and bad fruits with a very high accuracy successfully using image processing.

Keywords: Image Acquisition, Pre-processing, Segmentation, feature extraction, feature training, feature matching

DOI: https://doi.org/10.15623/ijret.2014.0322019