Outline
- Abstract
- Keywords
- I. Introduction
- II. Blood Vessel Segmentation Techniques:
- III. Optic Disc Segmentation:
- IV. Conclusion
- References
رئوس مطالب
- چکیده
- کلیدواژه ها
- مقدمه
- تکنیک های قطعه بندی رگ خونی
- فیلتر های تطبیقی
- تحلیل چند مقیاسی
- قطعه بندی دیسک اپتیک
- نتیجه گیری
Abstract
Abstract: Segmentation is the process of partitioning an image into set of components. Segmentation of blood vessel and optic disc is necessary for early detection of affected area in the retina. The eye is very unique part in human body where the vascular conditions are directly observed in vivo. The different approaches have been developed for blood vessel and optic disc detection; few of the approaches are discussed in this paper. The blood vessel identification is performed on the basis of blood vessel characteristics such as blood vessel orientation, cross-sectional area, surface shapes, and abnormal regions volumes. The quantitative analysis of retinal images is of increasing importance in the diagnosis of the blood vessel abnormalities. An automated method for identification of optic disc has two methodologies location methodology and boundary segmentation methodology.
Keywords: Blood vessel - detection - identification - optic disc - orientation - SegmentationConclusions
This literature survey proposed various approaches for identifying and segmenting the blood vessels and optic disc. We have tried to cover recent and early literature related to segmentation algorithms and techniques. Faster segmentation can be achieved through the multi-scale image processing method. The most important application of segmentation is radiological diagnostic system. Advances in radiological imaging system result in large number of patient images. Processing of these images, fast segmentation algorithms required. One way to do fast segmentation is by developing parallel algorithms.