Pattern Recognition
Computer Vision
An improved matched filter for blood vessel detection of digital retinal images
Computers in Biology and Medicine
Practical Algorithms for Image Analysis with CD-ROM
Practical Algorithms for Image Analysis with CD-ROM
Retinal vessel extraction by matched filter with first-order derivative of Gaussian
Computers in Biology and Medicine
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Micro-blood vessel detection using K-means clustering and morphological thinning
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
ICMB'10 Proceedings of the Second international conference on Medical Biometrics
Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation
IEEE Transactions on Image Processing
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Blood vessel extraction is an important step for abnormality detection and for obtaining good retinopathy diabetic diagnosis in digital retinal images. The use of filter bank has shown to be a powerful technique for detecting blood vessels. In particular, the Matched Filter is appropriate and efficient for this task and in combination with other methods the blood vessel detection can be improved. We propose a combination of the Matched Filter with a segmentation strategy by using a Cellular Automata. The strategy presented here is very efficient and experimentally yields competitive results compared with others methods of the state of the art.