EXTENDED FUZZY SWITCHING MEDIAN FILTER AND MORPHOLOGICAL ALGORITHM FOR MEDICAL IMAGE SEGMENTATION

This paper is concerned with object segmentation in large database medical images. Object segmentation scheme is presented using a hybrid fuzzy median filter with the voting segmentation algorithm. Input image is pre-processed using the hybrid filter. Here, the hybrid filter is designed with the sim...

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Bibliographic Details
Published in:ARPN journal of engineering and applied sciences 2015-01, Vol.10 (1), p.80-90
Main Authors: Nithya, A, Kayalvizhi, R
Format: Article
Language:English
Subjects:
Algorithms
Fuzzy
Fuzzy logic
Fuzzy set theory
Segmentation
Switching
Voting
Online Access:Get full text
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Summary:This paper is concerned with object segmentation in large database medical images. Object segmentation scheme is presented using a hybrid fuzzy median filter with the voting segmentation algorithm. Input image is pre-processed using the hybrid filter. Here, the hybrid filter is designed with the simple mean and the fuzzy switching median filter for contrast enhancement. After preprocessing, object is segmented using a voting segmentation algorithm which combines three segmentation algorithms like Marker control watershed segmentation algorithm, Multiscale gray level morphological open and close reconstruction and Gradient multiscale gray level morphological open and close reconstruction algorithm. Finally, the majority voting segmentation scheme is developed to extract the object. For experimental evaluation, different filtering techniques such as Median filter, Wiener filter, Fuzzy Switching Median filter along with different segmentation algorithms are implemented. From experimental evaluation both the PSNR and Segmentation accuracy are improved.
ISSN:1819-6608
1819-6608