Multi-Window Local Region Contrast Adjustment and Region Growing for Retinal Vessel Segmentation
文献类型：期刊论文
| 作者 | Wang, Weihua1,3,4; Wang, Weiqing2; Wu, Wenyuan3 ; Zhang, Jingzhong3
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| 刊名 | JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS
 |
| 出版日期 | 2018-10-01 |
| 卷号 | 8期号:8页码:1554-1565 |
| 关键词 | Local Contrast Retinal Vessel Segmentation Medical Image Processing Region Growing |
| ISSN号 | 2156-7018 |
| DOI | 10.1166/jmihi.2018.2503 |
| 通讯作者 | Wang, Weiqing() |
| 英文摘要 | Retinal vessel images provide a wealth of information for the diagnosis of several medical pathologies. Accurate segmentation of blood vessel image from fundus image is crucial for pathological analysis. To address the issues of the fine vessel branches that are overshadowed by the major vessels, high-brightness areas with low contrast in a local region, a novel multi-window local region contrast adjustment and region growing for retinal vessel enhancement and segmentation is proposed in this paper. Firstly, the Gabor wavelet is used for enhancing blood vessels. Then, a local region contrast adjustment method with a window scale is proposed to further enhance the fine vessels with the low contrast between the vessel and background in a local region. Finally, an iterative region growing method based on adaptive multi-threshold is presented to extract the blood vessels from an enhanced fundus image, the iterative process can be stopped automatically. The performance of this algorithm is evaluated on two publicly fundus image databases DRIVE and STARE by five different metrics. The proposed method reaches an average segmentation accuracy, specificity and sensitivity of 0.9443, 0.9743 and 0.7516 for the DRIVE database respectively, and 0.9464, 0.9700 and 0.7566 for the STARE databases respectively. The experiment results demonstrated that our proposed method with an automated termination condition improved the true segmentation of the fine vessels and decreases the false segmentation of the vessels in low contrast regions compared to the existing unsupervised methods. |
| 资助项目 | Chongqing Research Program of Basic Research and Frontier Technology[cstc2015jcyjBX0019] ; Chongqing Research Program of Basic Research and Frontier Technology[cstc2016jcyjA0145] ; Scientific Research Fund of Chongqing Municipal Education Commission[KJ1711268] |
| WOS研究方向 | Mathematical & Computational Biology ; Radiology, Nuclear Medicine & Medical Imaging |
| 语种 | 英语 |
| WOS记录号 | WOS:000449743300003 |
| 出版者 | AMER SCIENTIFIC PUBLISHERS |
| 源URL | [http://119.78.100.138/handle/2HOD01W0/6990]  |
| 专题 | 中国科学院重庆绿色智能技术研究院 |
| 通讯作者 | Wang, Weiqing |
| 作者单位 | 1.Chongqing Univ Arts & Sci, Sch Software Engn, Yongchuan 402160, Peoples R China 2.Southwest Univ, Business Coll, Rongchang 402460, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Automated Reasoning & Cognit, Chongqing 400714, Peoples R China 4.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Weihua,Wang, Weiqing,Wu, Wenyuan,et al. Multi-Window Local Region Contrast Adjustment and Region Growing for Retinal Vessel Segmentation[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,2018,8(8):1554-1565. |
| APA | Wang, Weihua,Wang, Weiqing,Wu, Wenyuan,&Zhang, Jingzhong.(2018).Multi-Window Local Region Contrast Adjustment and Region Growing for Retinal Vessel Segmentation.JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS,8(8),1554-1565. |
| MLA | Wang, Weihua,et al."Multi-Window Local Region Contrast Adjustment and Region Growing for Retinal Vessel Segmentation".JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS 8.8(2018):1554-1565. |
入库方式： OAI收割
来源：重庆绿色智能技术研究院
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