Multi-color object image segmentation based on improved CV model

doi:10.13245/j.hust.180113

	Multi-color object image segmentation based on improved CV model
	Zhang, Aihua 1,2,4; Wang, Fan 3; Chen, Haiyan 3
刊名	Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition)
	2018-01-23
卷号	46 期号:1 页码:63-66 and 86
关键词	Color Image enhancement Image segmentation Information filtering K-means clustering Clustering centers Complex objects Energy functions Intensity information Level set evolution equations Mean filter Ochotona curzoniae Segmentation results
ISSN号	16714512
DOI	10.13245/j.hust.180113
英文摘要	As Chan-Vese(CV) model could not fully segment the image of object color are diversity and mutability, thus an improved CV model was proposed. The internal pixels of image evolution contours were processed by K-means clustering, and the clustering center point values were obtained. The internal fitting values of CV model was constructed by the clustering center point values and the image mean filtered intensity information, thereby improving the adaptability of CV model for complex object image segmentation. In addition, rectangular Dirac function was used to replace regularized Dirac function in the energy function of CV model, and the calculation of level set evolution equation could be limited to the zero level set so as to avoid the influence of the image background disturbance on the segmentation result. The experimental result shows that the improved CV model can accurately and quickly segment the multi-color and color-mutation object image. © 2018, Editorial Board of Journal of Huazhong University of Science and Technology. All right reserved.
语种	中文
出版者	Huazhong University of Science and Technology
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113784]
专题	电气工程与信息工程学院计算机与通信学院
作者单位	1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou University of Technology, Lanzhou; 730050, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.School of Computer and Communication, Lanzhou University of Technology, Lanzhou; 730050, China; 4.National Demonstration Center for Experimental Electrical and Control Engineering Education, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Zhang, Aihua,Wang, Fan,Chen, Haiyan. Multi-color object image segmentation based on improved CV model[J]. Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),2018,46(1):63-66 and 86.
APA	Zhang, Aihua,Wang, Fan,&Chen, Haiyan.(2018).Multi-color object image segmentation based on improved CV model.Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition),46(1),63-66 and 86.
MLA	Zhang, Aihua,et al."Multi-color object image segmentation based on improved CV model".Huazhong Keji Daxue Xuebao (Ziran Kexue Ban)/Journal of Huazhong University of Science and Technology (Natural Science Edition) 46.1(2018):63-66 and 86.