International Journal of Advanced Computing and Communication Systems

IJACCS Volumes & Issues

Granular Cell Tumor Detection Using Various Image Filtering Techniques

Tumpa Dey and Dibyendu Ghoshal, Department of ECE & EIENIT, Agartala, India.

International Journal of Advanced Computing and Communication Systems

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Volume 06, Issue 01

Page No :006-008

Abstract

In this paper a simple approach is proposed to detect the granular cell tumor. In this work we created one algorithm to solve different problems like image enhancement, compression, noise reduction. In this algorithm first we applied homomorphic filtering in space domain then pass the homomorphic filtered image through canny edge detector algorithm for twice then add high boost filtering in space domain. The whole procedure is applied in the granular cell tumor images. After getting the output image we calculate performance by the Pratt’s figure of merit rating factor and the calculated factor is very well.

Keywords

homomorphic filtering; canny edge detector; high boost filtering; pratt’s figure.

Cite this Article

Tumpa Dey and Dibyendu Ghoshal, “Granular Cell Tumor Detection Using Various Image Filtering Techniques, ”International Journal of Advanced Computing and Communication Systems, pp. 001-008, March 2019.

Copyright

© 2019 Tumpa Dey and Dibyendu Ghoshal. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.