Zobrazeno 1 - 9
of 9
pro vyhledávání: '"M. Mohammed Sathik"'
Publikováno v:
ICTACT Journal on Image and Video Processing, Vol 5, Iss 4, Pp 1030-1036 (2015)
This paper compares different algorithms for the segmentation of skin lesions in dermoscopic images. The basic segmentation algorithms compared are Thresholding techniques (Global and Adaptive), Region based techniques (K-means, Fuzzy C means, Expect
Externí odkaz:
https://doaj.org/article/0ed86ba5f94a44c0bc4bcfdf9da2eb73
Autor:
S. Piramu Kailasam, M. Mohammed Sathik
Publikováno v:
International Journal Of Engineering And Computer Science.
The Objective is to detect the cancerous lung nodules from 3D CT chest image and classify the lung disease and its severity. Although so many researches has been done in this stream, the problem still remains a challenging one. To extract the lung re
Autor:
S. S. Sujatha, M. Mohammed Sathik
Publikováno v:
A2CWiC
The central idea of this paper is to propose an algorithm that embeds the watermark information in host image. The image is divided into a non-overlapping blocks of size 2x2. A matrix is constructed by obtaining mean from every block. With the help o
Publikováno v:
2010 Second International conference on Computing, Communication and Networking Technologies.
Segmentation is an important step in many medical imaging applications and a variety of image segmentation techniques do exist. Of them, a group of segmentation algorithms is based on the clustering concepts. In our research, we have intended to devi
Publikováno v:
Proceedings of the International Conference on Computer Applications — Computer Applications - I.
Publikováno v:
2009 International Conference on Computer Technology and Development.
A fracture is a crack or break in the bone. This can be easily detected by taking an X-ray in that area. But some times these images lack sufficient brightness. Various Equalization Methods can be adapted to enhance the image. In this paper, two such
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