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《Journal of Zhengzhou University(Natural Science Edition)》 2019-01
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Plant Image Segmentation Model Based on RGB Color Space

LIU Guoqi;DENG Ming;LI Chenjing;Department of Computer and Information Engineering,Henan Normal University;  
To solve the problem of complex background,weak boundary,and connectivity in plant image segmentation,an improved bi-convex fuzzy variational image segmentation model was proposed. Firstly,the color image was divided into two parts by RGB color space model. The target part of the plant image was kept in the original color. The other part was set to the color background with large difference from the target object. The extracted object contour was used as an initial contour. Secondly,the log edge detection operator was used to improve the robustness of noise,and performed the image enhancement on the plant image. Finally,a new segmentation model was proposed based on the blurring fuzzy variational model. The experimental results showed that the average JS value of the method was improved to95. 68%. The accurate extraction of edge contour of the target object in the rosette plant image was realized. It also effectively solved the problem of the complex background and the connectivity between pixels.
【Fund】: 国家自然科学基金项目(U1404603);; 河南省教育厅科学技术重点研究项目(13A520522)
【CateGory Index】: TP391.41
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【Citations】
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1 Tian Jie 1,2 , Hu Qiuxia 1,2 , Ma Xiaoyi 3 (1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yang ling 712100, China; 2. College of Information Engineering, Northwest A&F University, Yang ling 712100, China; 3. College of Water Resources and Architecture Engineering, Northwest A&F University, Yang ling 712100, China);Color image segmentation of plant lesion using improved C-V model based on Gaussian distribution[J];农业工程学报;2013-16
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【Co-citations】
Chinese Journal Full-text Database 8 Hits
1 Zhang Hongqi;Liu Yu;Hao Min;College of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University;;The Research of Tomato Image Segmentation Based on Machine Vision[J];农机化研究;2015-03
2 Zhao Yaochi;Hu Zhuhua;Bai Yong;Cao Fengqin;College of Information Science & Technology,Hainan University;College of Environment and Plant Protection,Hainan University;;An Accurate Segmentation Approach for Disease and Pest Based on Texture Difference Guided DRLSE[J];农业机械学报;2015-02
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1 Hu Qiuxia1,2 Tian Jie1,2 He Dongjian1 Ning Jifeng2(1.College of Mechanical and Electronic Engineering,Northwest A & F University,Yangling,Shaanxi 712100,China 2.College of Information Engineering,Northwest A & F University,Yangling,Shaanxi 712100,China);Segmentation of Plant Lesion Image Using Improved C-V Model[J];农业机械学报;2012-05
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9 Nawal Houhou~(1,*),Jean-Philippe Thiran~1 and Xavier Bresson~2 1 Signal Processing Laboratory 5,Ecole Polytechnique Federale de Lausanne(EPFL), Lausanne,Switzerland. 2 Department of Mathematics,University of California,Los Angeles, CA 90095-1555,USA.;Fast Texture Segmentation Based on Semi-Local Region Descriptor and Active Contour[J];Numerical Mathematics:Theory,Methods and Applications;2009-04
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