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Image Processing Techniques For Quality Checking In Food Industry

Author(s):

Gour Meenakshi Manohar , Parul Institute of Engineering and Technology,; Tejal Patel, Parul Institute of Engineering and Technology,

Keywords:

Computer Vision, Image Processing, Segmentation, Feature Extraction, Classification

Abstract

Computer vision system allows identifying physical characteristics and quality of product in a reliable form. Due to these advantages computer vision is widely accepted in agricultural and food industries. This paper proposes a computer vision based automatic and non-destructive grading of fruits according to their quality and maturity level. Different fruits used for this study are Apple, Mango and Banana. The proposed procedure is implemented through a digital colour image processing based on stages of preprocessing, segmentation, feature extraction and classification. The video image is taken from the wireless camera, Fuzzy C-mean (FCM) method is used for Segmentation, for feature extraction colour Moment, Color Auto-Correlogram, colour Moment features are extracted and Support Vector Machine (SVM) is used for the classification of fruits as good quality or bad quality.

Other Details

Paper ID: IJSRDV4I30730
Published in: Volume : 4, Issue : 3
Publication Date: 01/06/2016
Page(s): 961-963

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