Multiscale edge- and region-based segmentation of range images

Hong Minh Cung; Paul Cohen; Pierre Boulanger

doi:10.1117/12.21321

1 September 1990 Multiscale edge- and region-based segmentation of range images

Hong Minh Cung, Paul Cohen, Pierre Boulanger

Proceedings Volume 1297, Hybrid Image and Signal Processing II; (1990) https://doi.org/10.1117/12.21321
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

Abstract

We present a multiscale edge- and region-based segmentation scheme for range images which leads to a rich representation in terms of focused edges and constant-sign curvature regions. At a given scale the edge detection scheme extracts the discontinuities in surface depth and orientation. The extraction is accomplished by first detecting the presence of significant edges at that scale and then determining their precise location by tracking them over decreasing scale down to the finest scale at which they are most accurately positioned. At the same scale the region-based segmentation scheme consists of applying anisotropic filtering to the regions delimited by the previously detected edges and segmenting these regions into surface primitives of constant Gaussian and mean curvature signs. Experimental results are presented for both synthetic and real images and a comparison is done with some recently published techniques. 1.

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Hong Minh Cung, Paul Cohen, and Pierre Boulanger "Multiscale edge- and region-based segmentation of range images", Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); https://doi.org/10.1117/12.21321

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KEYWORDS

Image segmentation

Edge detection

Image resolution

Signal to noise ratio

Gaussian filters

Signal processing

Image filtering

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