ISSN : 2319-7323

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE ENGINEERING

ABSTRACT

Title	:	COLOR BASED REMOTE SENSING IMAGE SEGMENTATION USING FUZZY C-MEANS AND IMPROVED SOBEL EDGE DETECTION ALGORITHM
Authors	:	Ms. B.SasiPrabha, Mrs.R.uma
Keywords	:	image processing, Remote sensing image, Fuzzy c means, improved sobel edge detection algorithm.
Issue Date	:	Mar 2017
Abstract	:	Now-a-days image processing techniques are very exigent and broadly used in satellite images. The color based segmentation of remotely sensed image is used to assign corresponding levels with respect to groups with harmonized characteristics, with the aim of discriminating multiple objects from each other within the image. Every level of an image is called class. This will be executed on the basis of spectral or spectrally defined features such as density, texture and many other things in the feature space. In this research, well organized algorithm is proposed for Remote sensing image, edge are detected based on improved sobel edge detection algorithm and nuclei segmentation of Remote sensing image using Fuzzy c means clustering algorithm[1], the recital patterns of the algorithm are analyzed. Finally, edge detected image will be a binary image, this image is converted into color image using olive color map function. The olive color map function consists of colors that are shades of green and yellow. The olive colormap function takes less computational time than other colormap function.The improved sobel edge detection algorithm takes less computational time and greatest PSNR than edge detection algorithm.
Page(s)	:	83-87
ISSN	:	2319-7323
Source	:	Vol. 6, No.3