Title :
Segmentation algorithms for automatic detection of retinal images using CVIP tools
Author :
Murugan, Rajen ; Korah, Reeba
Author_Institution :
Centre for Res., Anna Univ., Chennai, India
Abstract :
Medical image segmentation plays a crucial role in many medical imaging applications by automating or facilating the delineation of anatomical structure and other regions of interest. This paper makes a review on the current segmentation algorithm used for retinal images. These algorithms are divided into three categories according to their main concepts like Edge-based, Region based and Special - theory based Segmentations. The reviewed algorithms are tested using Computer Vision and Image Processing (CVIP) tools.
Keywords :
computer vision; edge detection; eye; image segmentation; medical image processing; CVIP tools; anatomical structure automation; anatomical structure delineation; automatic retinal image detection; computer vision and image processing tools; edge-based segmentations; medical image segmentation; medical imaging applications; region-based segmentations; region-of-interest; special theory-based segmentations; Biomedical imaging; Image edge detection; Image segmentation; Quantization; Retinal medical imaging; automatic detection; edge detection; regions of interest; retinal evaluation; thresholding;
Conference_Titel :
Advanced Communication Control and Computing Technologies (ICACCCT), 2012 IEEE International Conference on
Conference_Location :
Ramanathapuram
Print_ISBN :
978-1-4673-2045-0
DOI :
10.1109/ICACCCT.2012.6320776
