Development of ABF and Fuzzy Based Techniques for detection of heart blocks in CT-Scan image

International Journal of P2P Network Trends and Technology (IJPTT)          
© 2016 by IJPTT Journal
Volume - 6 Issue - 2
Year of Publication : 2016
Authors : M.Ramu, B.Sridhar, K.Mounika, M.Sreelekha, K.Aravind babu
DOI :  10.14445/22492615/IJPTT-V25P401


M.Ramu, B.Sridhar, K.Mounika, M.Sreelekha, K.Aravind babu "Development of ABF and Fuzzy Based Techniques for detection of heart blocks in CT-Scan image". International Journal of P2P Network Trends and Technology (IJPTT), V6(2):31-35 Mar - Apr 2016, ISSN:2249-2615,, Published by Seventh Sense Research Group.


CT scan imaging is one of the fastest and accurate method for examining heart and plays a vital role in detection of size of the blocks and identify its precise region in heart. Physicians often prefer the CT scan examination to quickly identify the blocks in heart and assess the results for monitor response. The proposed method mainly consists of three blocks, they are pre-processing, segmentation of blocks in CT scan image of heart, evaluation. Preprocessing has done by using adaptive bilateral filter that which removes a high robust noise on the image and highlights the boundaries of the regions in the image. In the process of segmentation an image subtraction is applied on the CT scan image to extract the high intensity areas followed a fuzzy logic based detection process to highlight the blocks in heart and rest of the regions are being suppressed. The proposed method is to be simulated on MATLAB and to be tested with patient CT scan data sets. The results of the proposed method are compared with expert radiologists detection, which shows proposed method is efficient and gives a high performance results.


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CT scan, Fuzzy technique, Image segmentation, Bi lateral filtering.