Swarnalatha P

Department of Information Security

School of Computer Science and Engineering

Vellore Campus

B k tripathy

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

International Journal of Intelligent Systems and Applications

Purpose: The purpose of this paper is to provide a way to analyze satellite images using various clustering algorithms and refined bitplane methods with other supporting techniques to prove the superiority of RIFCM. Design/methodology/approach: A comparative study has been carried out using RIFCM with other related algorithms from their suitability in analysis of satellite images with other supporting techniques which segments the images for further process for the benefit of societal problems. Four images were selected dealing with hills, freshwater, freshwatervally and drought satellite images. Findings: The superiority of the proposed algorithm, RIFCM with refined bitplane towards other clustering techniques with other supporting methods clustering, has been found and as such the comparison, has been made by applying four metrics (Otsu (Max-Min), PSNR and RMSE (40%-60%-Min-Max), histogram analysis (Max-Max), DB index and D index (Max-Min)) and proved that the RIFCM algorithm with refined bitplane yielded robust results with efficient performance, reduction in the metrics and time complexity of depth computation of satellite images for further process of an image. Practical implications: For better clustering of satellite images like lands, hills, freshwater, freshwatervalley, drought, etc. of satellite images is an achievement. Originality/value: The existing system extends the novel framework to provide a more explicit way to analyze an image by removing distortions with refined bitplane slicing using the proposed algorithm of rough intuitionistic fuzzy c-means to show the superiority of RIFCM. © Emerald Group Publishing Limited.

Kybernetes

A comparative study of RIFCM with other related algorithms from their suitability in analysis of satellite images using other supporting techniques

This study plays a vital role in the significance of the analysis of an image in medical image processing field, is gaining thought of many researchers in modern times. The recognition of faults present in the destroyed portion of an image is imperative for based field. In this paper, we focus at developing an approach for better classification of medical images. Our methodology is based on the concept of a novel fuzzy approach with bit plane (FCMBP) algorithm. The bit plane filtering method is used to slice the given image for classification to find out the destroyed region of the given image. The sliced image should be normalized with the old techniques and compared with the fuzzy technique for better classification and cluster of the spoiled portion. Thereby the control points have been extracted that are needed for further reconstruction of images. The performance of fuzzy approach with bit plane technique is evaluated using simulation and it is proved that our approach yields better results when compared to accessible methods. © 2013 IEEE.

2013 IEEE International Conference ON Emerging Trends in Computing, Communication and Nanotechnology (ICECCN)

A novel fuzzy c-means approach with bit plane algorithm for classification of medical images

A Centroid Model for the Depth Assessment of Images using Rough Fuzzy Set Techniques

Journal	International Journal of Intelligent Systems and Applications
Publisher	MECS Publisher
ISSN	2074-904X
Open Access	0