文章基本信息

标题：A Newly Rule-Based Method for Blood Vessel Segmentation – “Multi-scale single-channel linear tracking method”
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作者：Mohammed Imran Khan ; Prof.Yashowardhan Kelkar
期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：2
页码：369-373
出版社：Technopark Publications
摘要：This paper presents a new supervised method for blood vessel detection in digital retinal images. Described in the text of a vascular retinal image segmentation and extraction of network algorithms, known as multi-scale single-channel linear tracking (MSLTA). Retinal fundus imaging is widely used for eye examinations. The acquired images provide a unique view on the eye vasculature. The analysis of the vasculature has a high importance especially for detecting cardiovascular diseases. We present a multiscale algorithm for automatic retinal blood vessel segmentation, which is considered as a requirement for the diagnosis of vascular diseases. This algorithm from the select part of a seed pixel in the image began tracking, tracking pixels that meet the criteria in the process gives a higher confidence level. The method was evaluated on the publicly available DRIVE and STARE databases, widely used for this purpose, since they contain retinal images where the vascular structure has been precisely marked by experts. Method performance on both sets of test images is better than other existing solutions in literature. The method proves especially accurate for vessel detection in STARE images
关键词：Diabetic retinopathy; moment invariants; retinal imaging; telemedicine; vessels segmentation