Abstract: Image segmentation is the process of partitioning a digital image into multiple segments (sets of pixels). Segmentation refers to the operation of partitioning an image into component parts, or into separate objects. Segmentation subdivides an image into its constituent regions or objects. The level to which the subdivision is carried depends on the problem being solved. The goal of segmentation is to simplify or change the representation of an image into something that is more meaningful and easier to analyze. The objective of Segmentation is to partition an image into regions. This paper proposes a novel method for retinal blood vessel segmentation. In this paper an automated method for blood vessel segmentation is used. Simple morphological parameters are used for retinal blood vessel segmentation. Retinal image segmentation helps to analysis retinal blood vessel damages due to various causes. Hence the extraction of retinal blood vessel is an important task. Segmentation can be effectively implemented using morphological operators. This paper emphasis on vessel extraction using morphological approaches. Vessel extraction is the first procedure in detection of damaged vessels. This approach is implemented using MATLAB.
Keywords: Image segmentation, Morphological processing, Retinal imaging, blood vessel segmentation.