计算机工程与应用Issue(16)：164-167,4.DOI:10.3778/j.issn.1002-8331.1209-0207
基于机器视觉的西瓜子外观品质检测与分类
Detection of watermelon seeds exterior quality based on machine vision
摘要
Abstract
A machine vision system is developed to investigate the detection of watermelon seeds exterior quality. The main characteristics of watermelon seeds appearance including area, perimeter, roughness and minimum enclosing rectangle are calculated by image analysis. Least Square Support Vector Machine optimized by genetic algorithm is applied for the classification of watermelon seeds exterior quality, and the broken melon seeds, normal melon seeds and high-quality seeds are distinguished finally. The experimental results show that the watermelon seeds exterior quality can be well detected and classified by machine vision based on least squares support vector machine.关键词
机器视觉/西瓜子/图像处理/支持向量机/遗传算法Key words
machine vision/watermelon seeds/image processing/Least Squares Support Vector Machines(LS-SVM)/Genetic Algorithm分类
信息技术与安全科学引用本文复制引用
陈锡爱,柯霜,王凌,许宏,王斌锐,郑恩辉..基于机器视觉的西瓜子外观品质检测与分类[J].计算机工程与应用,2014,(16):164-167,4.基金项目
浙江省教育厅科研项目（No.Y201121959）。 （）
