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Characterization of optic disc in human retinal images using tsallis entropy based method
Published in ISA - Instrumentation, Systems, and Automation Society
2012
Volume: 48
   
Abstract
The detection of the optic disc is an important step in the automated analysis of retinal images. A method to identify the optic disc in human retinal images using, non-extensive entropy, also called Tsallis entropy, is presented in this paper. The segmentation process is carried out on the retinal images using conventional Tsallis entropy, with and without morphological preprocessing. An optimum threshold value is found to separate optic disc from the blood vessels and other structures. The performance of the conventional Tsallis algorithm with and without preprocessing is compared and analyzed based on the different entropic index, visual quality, pixel distribution and the geometrical size of the optic disc. The conventional Tsallis entropy with morphological preprocessing is able to segment the optic disc. The detection efficiency is found to be high for the entropic index equal to 4 and also it is found that optic disc index is a useful parameter to differentiate normal from abnormal retinal images. The results are useful for detection of various retinal related diseases. © 2012 All Rights Reserved.
About the journal
JournalBiomedical Sciences Instrumentation
PublisherISA - Instrumentation, Systems, and Automation Society
ISSN00678856
Open AccessNo
Concepts (17)
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    Blood vessels
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    Entropy
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    OPHTHALMOLOGY
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    MORPHOLOGICAL PREPROCESSING
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    OPTIC DISC
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    RETINAL IMAGE
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    Thresholding
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    TSALLIS ENTROPIES
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    Image segmentation
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    Article
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    Blood vessel
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    Geometry
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    Human
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    Image processing
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    OPTIC DISK
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    RETINA IMAGE
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    Tsallis entropy