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基于数学形态滤波算子的黄顶菊种子图像边缘检测
引用本文:王艳春,迟胜起,郑长英. 基于数学形态滤波算子的黄顶菊种子图像边缘检测[J]. 农机化研究, 2011, 33(3)
作者姓名:王艳春  迟胜起  郑长英
作者单位:1. 青岛农业大学理学与信息工程学院,山东青岛,266109
2. 青岛农业大学农学与植物保护学院,山东青岛,266109
基金项目:农业部公益性行业科研专项,青岛农业大学高层次人才科研项目
摘    要:黄顶菊种子边缘检测是进行黄顶菊种子形态特征提取和分析的基础.经典的边缘检测算法由于抗噪声能力差,无法精确检测出黄顶菊种子的边缘.为此,运用数学形态学的基本原理和方法,提出了一种基于数学形态滤波器的二值图像边缘检测算法,应用于黄顶菊种子图像的边缘检测.实验结果表明,提出的边缘检测算法的性能明显优于经典的边缘检测算法,不仅能够准确、有效、完整地提取出黄顶菊种子的边缘,同时能有效地去除噪声.

关 键 词:图像处理  数学形态学  边缘检测  黄顶菊

The Edge- detection of Flaveria Bidentis Seed Image Based on Mathematics Morphological Filtering Operators
Wang Yanchun,Chi Shengqi,Zheng Changying. The Edge- detection of Flaveria Bidentis Seed Image Based on Mathematics Morphological Filtering Operators[J]. Journal of Agricultural Mechanization Research, 2011, 33(3)
Authors:Wang Yanchun  Chi Shengqi  Zheng Changying
Affiliation:Wang Yanchuna,Chi Shengqib,Zheng Changyingb(a.College of Information Science and Engineering,b.College of Agronomy and Plant Protection,Qingdao Agricultural University,Qingdao 266109,China)
Abstract:The edge-detection of flaveria bidentis seed is the basis of flaveria bidentis seed conformation feature extraction and analysis.Classical edge-detection algorithms are influenced by noise and can not detect the seed edge exactly.Therefore,an algorithm for edge detection of binary image based on mathematical morphological filter is proposed,which is applied for flaveria bidentis seed edge-detection.The experimental results show that the algorithm is better than the classical edge-detection operator,not only...
Keywords:image process  mathematical morphology  edge detection  flaveria bidentis  
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