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International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 8    
Website: http://www.ijser.org
scirp IJSER >> Volume 3,Issue 8,August 2012
CT Angiography Image Segmentation by Mean Shift Algorithm and Contour with Connected Components Image
Full Text(PDF, )  PP.4-9  
Author(s)
Dr. Ali Hassan Al-Fayadh, Hind Rostom Mohamed, Raghad Saaheb Al-Shimsah
KEYWORDS
— Image Segmentation,image detection, Image ,CT Angiography Image , mean-shift , contour Image
ABSTRACT
In the present paper, Mean Shift Algorithm and active contour to detect objects for CT Angiography Image Segmentation is proposed.Based on the results we believe that this method of boundary detection together with the mean-shift can achieve fast and robust tracking of the CT Angiography Image Segmentation in noisy environment. The proposed scheme has been tested successfully on a large set of images. The performance of the proposed detector compares favorably both computationally and qualitatively, in comparison with Mean Shift and contour detector which are also based on surround influence .The last stage is stage contain Extraction of connected components CT Angiography image edge detection . The proposed scheme can serve as a low cost preprocessing step for high level tasks such shape based recognition and image retrieval. The experimental results confirm the effectiveness of the proposed algorithm.
References
[1] Prakash PANDEY, Uday Pratap SINGH and Sanjeev JAIN, Categorization and Searching of Color Images Using Mean Shift Algorithm, Leonardo Journal of Sciences, Issue 14, January-June (2009).

[2] C.NagaRaju, S.NagaMani, G.rakeshPrasad,S.Sunitha ,Morphological Edge Detection Algorithm Based on Multi-Structure Elements of Different Directions, Volume 1 No. 1, International Journal of Information and Communication Technology Research ,2010-11 IJICT Journal. All rights reserved , (2011).

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