Title :
A network for multiscale image segmentation
Author :
Perona, Pietro ; Malik, Jitendra
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Detecting edges of objects in their images is a basic problem in computational vision. The authors present the major ideas behind the use of scale space and anisotropic diffusion for edge detection, show that anisotropic diffusion can enhance edges, suggest a network implementation of anisotropic diffusion, and provide design criteria for obtaining networks performing scale space and edge detection. The results of a software implementation are shown
Keywords :
computer vision; computerised pattern recognition; picture processing; anisotropic diffusion; computational vision; design criteria; edge detection; multiscale image segmentation; network implementation; picture processing; scale space; software implementation; Artificial intelligence; Filtering; Gaussian processes; Image edge detection; Image resolution; Image segmentation;
Conference_Titel :
Circuits and Systems, 1988., IEEE International Symposium on
Conference_Location :
Espoo
DOI :
10.1109/ISCAS.1988.15465
