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Wenquan Chen
China Jiliang University

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Detection of Watermelon Seeds Exterior Quality based on Machine Vision Xiai Chen; Ling Wang; Wenquan Chen; Yanfeng Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

To investigate the detection of watermelon seeds exterior quality, a machine vision system based on least square support vector machine was developed. Appearance characteristics of watermelon seeds included area, perimeter, roughness, minimum enclosing rectangle and solidity were calculated by image analysis after image preprocess.The broken seeds, normal seeds and high-quality seeds were distinguished by least square support vector machine optimized by genetic algorithm. Compared to the grid search algorithm, the classification results of watermelon seeds exterior quality achieved by genetic algorithm were analyzed in detail. Meanwhile machine vision grid laser was applied to detect the surface irregularities defects of watermelon seeds. This study demonstrated the feasible of detecting the watermelon seeds exterior quality by machine vision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2605
Co-Authors Ling Wang Xiai Chen Yanfeng Gao