Title :
Color image-based angular map-driven snakes
Author :
A. Dumitras;A.N. Venetsanopoulos
Author_Institution :
Speech & Image Process. Services Res. Lab, AT&T Labs.-Res., Middletown, NJ, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We propose a method for shape description of objects in color images. Our method employs angular maps to identify significant changes of color within the image, which are then used to drive snake models. Experimental results show that our angular map-driven snake method not only yields an accurate description of an object shape, but also it is computationally efficient.
Keywords :
"Color","Shape","Image edge detection","Laplace equations","Laboratories","Speech processing","Image processing","USA Councils","Image retrieval","Animation"
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958970
