基于张量投票的昆虫翅脉提取算法  

Venation Extraction Algorithm for Insect Vein Based on Tensor Voting

作　　者：段大高[1] 龚乐[1] 万月亮[1] 韩忠明[1] 

机构地区：[1]北京工商大学计算机与信息工程学院,北京100048

出　　处：《计算机科学》2014年第12期216-219,共4页Computer Science

基　　金：国家自然科学基金面上项目(61170112);2013年度教育部人文社会科学研究青年基金项目(13YJC860006);北京市属高等学校科学技术与研究生教育创新工程建设项目(PXM2013_014213_000030_00042300)资助

摘　　要：昆虫翅脉提取对于昆虫自动分类意义重大。鉴于传统翅脉提取算法中存在断裂、边缘不整齐等缺点,提出一种基于张量投票的昆虫翅脉提取算法。首先对翅脉图像进行去噪、二值化、形态学等预处理,得到稀疏二值点图,然后计算每点的张量值,结合Gestalt定律的邻近性、相似性规则,对邻域内点进行张量投票,并设定投票阈值,最终获取昆虫翅脉轮廓。实验结果表明,由于引入张量和Gestalt规则,文中所提算法可以提取出更加符合感知规则的翅脉结构,得到较为完整且平滑的翅脉轮廓,同时对于出现少许断裂的翅脉图像,依然可以获得较为完整的翅脉边缘,这为后期的昆虫自动分类奠定基础。Insects venation extraction for its automatic classification is of great significance.The paper discussed some problems existing in the traditional algorithms of vein extraction and proposed a new method based on tensor voting.First,a sparse binary point figure is obtained by preprocessing such as denoising,binarization,morphology and so on,and the tensor of each pixel is calculated.After performing tensor voting between pixels in neighborhood by setting up a threshold,the final vein edge is obtained.The tensor voting process combines with Gestalt law of proximity,similarity,and etc.The experiment results show that by mean of Gestalt and tensor voting,the structure corresponding to visual perception can be extracted and a more smooth and complete edge contour image can be got.What＇s more,even if the vein image has a little fault,the proposed algorithm still can obtain a complete outline.The result vein contour image can greatly improve the performance of the later automatic classification of insects.

关 键 词：张量投票 昆虫翅脉 边缘轮廓 视觉感知 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]