Title :
Edge-based image segmentation with MOVels
Author :
Iannizzotto, Giancarlo ; Vita, Lorenzo
Author_Institution :
Dipartimento di Matematica, Messina Univ., Italy
Abstract :
We present a new technique for edge based segmentation, which is fast and accurate even in the presence of nested contours. The shape characteristics of the contours are perfectly recovered, with no smoothing, and only closed contours are returned; this leads to a well-defined segmentation of the images. The algorithm is easily parallelizable, and is well-suitable for specialized, real time hardware. Experimental results are presented, in comparison with the Canny algorithm (J.F. Canny, 1986)
Keywords :
edge detection; image segmentation; MOVels; closed contours; edge based image segmentation; moving elements; nested contours; real time hardware; shape characteristics; Active contours; Active shape model; Brightness; Image edge detection; Image segmentation; Mathematics; Partitioning algorithms; Smoothing methods; Spline; Telecommunications;
Conference_Titel :
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0253-9
DOI :
10.1109/MMCS.1999.779296
