Title :
Enhanced snakes algorithm for contour detection
Author :
Yuen, P.C. ; Wong, Y.Y. ; Tong, C.S.
Author_Institution :
Dept. of Comput. Studies, Hong Kong Baptist Univ., Hong Kong
Abstract :
The contour based technique has been proven to be an effective approach in object recognition. This paper describes an enhanced snakes algorithm (ESA) for contour detection. In ESA, a novel split and merge technique is added to the original snakes model so as to enhance the model to support concave object contour detection. A set of images is selected to evaluate the proposed algorithm and the results are encouraging
Keywords :
edge detection; object recognition; concave object contour detection; enhanced snakes algorithm; object recognition; snakes model; split and merge technique; Active contours; Detection algorithms; Electronic mail; Force control; Iterative algorithms; Mathematical model; Mathematics; Object detection; Object recognition; Spline;
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
DOI :
10.1109/IAI.1996.493726
