DocumentCode
469236
Title
Detection of Calculi Using Active Contour Method
Author
Karibasappa, K.G. ; Pujar, Jagdish H. ; Kusagur, Ashok S. ; Karibasappa, K.
Author_Institution
BVB Coll. of Eng. Technol., Hubli
Volume
3
fYear
2007
fDate
13-15 Dec. 2007
Firstpage
426
Lastpage
430
Abstract
Active contours are used extensively in computer vision and image processing applications, such as to locate object boundaries and object recognition etc. In this paper active contour and gradient vector models have been implemented and comparative study has been made with respect to their accuracy in describing the object and robustness to changes of model parameters and user defined parameter values.
Keywords
computer vision; feature extraction; gradient methods; kidney; medical image processing; object recognition; active contour method; computer vision; gradient vector model; image processing; object boundary location; object recognition; renal calculus detection; Active contours; Active shape model; Application software; Biomedical imaging; Computational intelligence; Computer vision; Educational institutions; Equations; Image processing; Object detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Conference on Computational Intelligence and Multimedia Applications, 2007. International Conference on
Conference_Location
Sivakasi, Tamil Nadu
Print_ISBN
0-7695-3050-8
Type
conf
DOI
10.1109/ICCIMA.2007.193
Filename
4426405
Link To Document