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Automatic Target Segmentation based on Texture for Microscopic Images of Natural Medical Herbal Powders
Li, Jun1; Song, Yi-Xu1; Li, Yao-Li2; Cai, Shao-Qing2; Yang, Ze-Hong1
关键词Medical herbal powder Microscopic images Automatic segmentation Texture feature
刊名JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY
2015-02-01
DOI10.1007/s11265-013-0839-y
78期:2页:139-146
收录类别SCI
文章类型Article
WOS标题词Science & Technology
类目[WOS]Computer Science, Information Systems ; Engineering, Electrical & Electronic
研究领域[WOS]Computer Science ; Engineering
英文摘要

The authentication of natural medical herbs has crucial impact on the clinical curative effect. Much of these herbs have been ground into powders in the market, leading to the difficulty of identification. Microscopic images of these powders contain important evidences for identification. Currently identification based on these microscopic images are mostly conducted by manual observation. Identification aided by computer vision technique is an important research subject recently. These microscopic images usually contain variety of substance, and most of them are noises, thus the target segmentation is necessary for identification. An effective automatic target segmentation algorithm based on texture is proposed in this paper. Our method consists of two steps: "Preliminary Segmentation" and "Further Segmentation". Firstly, gradient transform and image fusion are conducted for image preprocessing, then each pixel is encoded into a feature vector based on texture and clustered into two groups: background and foreground. Secondly, taking the continuity of edge and the locality of target into consideration, energy equations are established, and maximum flow-minimum cut algorithm is applied to solve them. Three groups of images are tested to evaluate our method, and the experimental results show that our method achieves a better segmentation compared with Grab-Cut, and additionally user inter-action is not required in our method.

语种英语
WOS记录号WOS:000348998900004
引用统计
文献类型期刊论文
条目标识符http://ir.bjmu.edu.cn/handle/400002259/64981
专题北京大学药学院
北京大学药学院_天然药物学系
作者单位1.Tsinghua Univ, State Key Lab Intelligent Technol & Syst, Tsinghua Natl Lab Informat Sci & Technol, Comp Sci & Technol Dept, Beijing 100084, Peoples R China
2.Peking Univ, State Key Lab Nat & Biol Drugs, Sch Pharmaceut Sci, Beijing 100191, Peoples R China
推荐引用方式
GB/T 7714
Li, Jun,Song, Yi-Xu,Li, Yao-Li,et al. Automatic Target Segmentation based on Texture for Microscopic Images of Natural Medical Herbal Powders[J]. JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY,2015,78(2):139-146.
APA Li, Jun,Song, Yi-Xu,Li, Yao-Li,Cai, Shao-Qing,&Yang, Ze-Hong.(2015).Automatic Target Segmentation based on Texture for Microscopic Images of Natural Medical Herbal Powders.JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY,78(2),139-146.
MLA Li, Jun,et al."Automatic Target Segmentation based on Texture for Microscopic Images of Natural Medical Herbal Powders".JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY 78.2(2015):139-146.
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