干旱区生态环境知识资源中心(Arid): Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy

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DOI	10.1016/j.jestch.2019.01.014
	Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy
	Singh, Navdeep; Kaur, Lakhwinder; Singh, Kuldeep
通讯作者	Singh, N (corresponding author), Punjabi Univ, Dept Comp Sci & Engn, Patiala 147001, Punjab, India.
来源期刊	ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
ISSN	2215-0986
出版年	2019
卷号	22 期号:3 页码:736-745
英文摘要	Images are sometimes affected by improper illumination and are dark. This happens usually in medical images or the images acquired in low light conditions. This paper focuses on retinal imaging and proposes two techniques, RIHE-RVE (Radiance indicator based histogram equalization for retinal vessel enhancement) and RIHE-RRVE (Radiance indicator based histogram equalization for recursive retinal vessel enhancement) to address the problem of low light radiance. The techniques separate the histogram into sub-histograms at the split value determined by the tuneable parameter, psi. RIHE-RVE recursively performs histogram integration after each split followed by equalization whereas in RIHE-RRVE histogram split can be done to any level (which is decided by the parameter,r) followed by equalization and integration. It has been observed from a comprehensive literature survey that very few algorithms exist that enhance the quality of retinal images. The proposed methods efficiently address the low light radiance problem. Performance evaluation of the techniques is done in terms of Information content (Entropy), PSNR (Peak signal to noise ratio), SSIM (Structure similarity index measurement), Euclidean distance and visual quality inspection. To demonstrate the robustness of the proposed methods, the techniques are not only applied specifically to publicly available retinal databases DRIVE, STARE and CHASE_DB1 but also to some of the MRI images taken from publicly available OASIS database. Results show that the proposed techniques outperform the state of the art techniques especially in low radiance images. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.
英文关键词	Histogram equalization Radiance Retinal image enhancement Entropy
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000475464100005
WOS关键词	OPEN ACCESS SERIES ; VESSEL SEGMENTATION ; BLOOD-VESSELS ; MRI DATA
WOS类目	Engineering, Multidisciplinary
WOS研究方向	Engineering
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/369602
作者单位	[Singh, Navdeep; Kaur, Lakhwinder] Punjabi Univ, Dept Comp Sci & Engn, Patiala 147001, Punjab, India; [Singh, Kuldeep] Bharat Elect Ltd, Cent Res Lab, Ghaziabad 201010, India
推荐引用方式 GB/T 7714	Singh, Navdeep,Kaur, Lakhwinder,Singh, Kuldeep. Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy[J],2019,22(3):736-745.
APA	Singh, Navdeep,Kaur, Lakhwinder,&Singh, Kuldeep.(2019).Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy.ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH,22(3),736-745.
MLA	Singh, Navdeep,et al."Histogram equalization techniques for enhancement of low radiance retinal images for early detection of diabetic retinopathy".ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 22.3(2019):736-745.