王艳,木合塔尔·米吉提,黄华,史勇,刘亚,郭俊先

• 1:新疆农业大学机械交通学院
• 2:阿克苏职业技术学院

摘要(Abstract)：

针对阿克苏鲜骏枣中含部分裂果枣问题,使用基于小波灰度共生矩阵的方法进行分选。首先采集骏枣RGB图像,去除RGB图像中绿色着色区后,对其进行小波变换,并提取变换后子图像的灰度共生矩阵,构造熵、能量、相关性、平滑度、对比度等5个特征向量,对特征向量进行主成分分析,降维输入支持向量机,完成对鲜枣裂果与正常果的分类识别,分类准确率能达到89.92%。实验结果表明,小波变换与灰度共生矩阵结合能够更加有效地表达枣的裂纹信息,可用于鲜骏枣裂纹分选。

关键词(KeyWords)： 小波;灰度共生矩阵;裂纹;支持向量机;骏枣;分选

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(61367001)~~

作者(Author): 王艳,木合塔尔·米吉提,黄华,史勇,刘亚,郭俊先

DOI: 10.16652/j.issn.1004-373x.2018.15.011

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