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大米虫蚀粒图像边缘检测方法
引用本文:李晶晶,王爱民,杨红卫.大米虫蚀粒图像边缘检测方法[J].电子质量,2012(2):8-10.
作者姓名:李晶晶  王爱民  杨红卫
作者单位:1. 河南工业大学信息科学与工程学院,河南郑州,450001
2. 河南工业大学电气工程学院,河南郑州,450001
摘    要:虫蚀严重影响大米的品质,大米虫蚀粒的检测具有重要的意义。图像分析是客观检测大米虫蚀粒的一种有效方法。边缘检测是采用图像法检测大米虫蚀粒的一个重要环节,该文分析了LoG算子法,频域检测法以及形态学边缘检测法,对比分析了它们的检测效果和速度,以期得到最适合检测大米虫蚀粒的图像边缘检测方法。实验结果表明,形态学检测方法效果较好,并且处理速度快。

关 键 词:边缘检测  LoG算子  频域检测  形态学

The Methods of Rice Injured Kernel Edge Detection
Li Jing-jing,Wang Ai-min,Yang Hong-wei.The Methods of Rice Injured Kernel Edge Detection[J].Electronics Quality,2012(2):8-10.
Authors:Li Jing-jing  Wang Ai-min  Yang Hong-wei
Affiliation:1(1.College of Information Science and Engineering,Henan University of Technology,Henan Zhengzhou 450001;2.College of Electrical Engineering,Henan University of Technology,Henan Zhengzhou 450001)
Abstract:The quality of rice was influenced by injured kernel seriously,rice injured kernel detectionwas very significative.Detecting the rice injured kernel by the method of graphical analysis is a new research subject while rice injured kernel edge detection is one important task.This article use the LoG operator method,frequency domain detection method,morphology to detect worm-eaten rice edge,and compare their detection effect and speed,in order to get the most effective edge detection method.The result shows that morphological detection method was the best,and the processing speed was fastest.
Keywords:edge detection  LoG operator  frequency domain detection  morphology
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