Plant Leaves Edge Detection Using Mean-shift Algorithm and Wavelet Transform

被引：0
|
作者：
Yang, Dong [1 ]
Hu, Chun-Hua [1 ]
Zhou, Yao [1 ]
机构：
[1] Nanjing Forest Univ, Coll Informat Sci & Technol, Nanjing 210037, Jiangsu, Peoples R China
来源：
2016 INTERNATIONAL CONFERENCE ON COMPUTATIONAL MODELING, SIMULATION AND APPLIED MATHEMATICS (CMSAM 2016) | 2016年
关键词：
Mean shift algorithm; Wavelet transform; The spatial bandwidth; The canny operator; Edge detection;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In this paper, a novel edge detection algorithm based on Mean-shift algorithm and wavelet transform is proposed to accurately segment the Leaves in the Leaf overlapped and grain complex situations. Firstly, Mean-shift algorithm of adaptive spatial bandwidth selection was put forward to smooth the plants leaves image Secondly two-dimensional wavelet transform was utilized to enhance contrast ratio. Then the edge of the plant leaf was lastly detected based on Canny operator. Compared with traditional edge detection algorithms, this edge detected by this method has a better continuity and has a higher signal-to-noise ratio.
引用
收藏
页码：267 / 271
页数：5
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