期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2015
期号：NCET
页码：276
出版社：S&S Publications
摘要：Retinal image having very vital information. It plays important roles in finding of some diseases in earlystages, such as diabetes, and cardiovascular disease. In this proposed system a new algorithm used to detect the bloodvessels effectively from the retinal image. The initial image enhancement is carried out by using Adaptive HistogramEqualization, followed by the curvelet Transforms are applied to the equalized image and the curvelet coefficients areobtained. The modifications to the Curvelet transform coefficients are carried out by suppressing all the coefficients ofone band. This combined effect of the equalization and the Curvelet Transforms provides a better enhancement to theimage. This enhanced image is used for the extraction of blood vessels. Afterward, eliminate the ridges not belongingto the vessels tree by morphological operators by reconstruction while trying to preserve the thin vessels unchanged. Inorder to increase the efficiency of the morphological operators by reconstruction, they were applied using multistructureelements and local adaptive thresholding method along with connected components analysis (CCA) indicatesthe remained ridges belonging to vessels.
