DocumentCode
2463525
Title
Ridge-detection for the perceptual organization without edges
Author
Subirana-Vilanova, J. Brian ; Sung, Kah Kay
Author_Institution
MIT Artificial Intelligence Lab., Cambridge, MA, USA
fYear
1993
fDate
11-14 May 1993
Firstpage
57
Lastpage
64
Abstract
The authors present a novel vector ridge detector which automatically finds the right scale of a ridge even in the presence of noise, multiple steps and narrow valleys. One of the key features of the ridge detector is that it has a zero response at discontinuities. The ridge detector can be applied both to scalar and vector quantities such as color. A parallel perceptual organization scheme that works without edges and is based on the ridge detector is also presented. In addition to perceptual groups, the scheme computes potential focus of attention points at which to direct future processing. The relation to human perception and several theoretical findings supporting the scheme are presented. Results of a Connection Machine implementation of the scheme are presented for perceptual organization using color
Keywords
computer vision; image recognition; Connection Machine implementation; human perception; multiple steps; narrow valleys; noise; parallel perceptual organization scheme; perceptual organization; ridge detection; scalar quantities; vector quantities; vector ridge detector; Artificial intelligence; Brightness; Color; Colored noise; Detectors; Focusing; Image edge detection; Image segmentation; Laboratories; Skeleton;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location
Berlin
Print_ISBN
0-8186-3870-2
Type
conf
DOI
10.1109/ICCV.1993.378235
Filename
378235
Link To Document