21 April 1995 Chromatic boundary detection by integrating adaptive smoothing and vector gradient approach
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Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995); doi: 10.1117/12.206691
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan
Abstract
Chromatic boundaries are edges caused by material changes. To detect these boundaries in the color images, chromatic information must be used. In this paper, we present an integration algorithm to combine adaptive smoothing technique and vector gradient approach together. Simulation results show that the integration algorithm earns the benefits of both adaptive smoothing technique and vector gradient approach. It can detect chromatic boundaries effectively and smooth out the variations within chromatic boundaries. Whether input color images are contaminated noise or not, the integration algorithm performs better than both adaptive smoothing for intensity image and vector gradient approach.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Soo-Chang Pei, Ching Min Cheng, "Chromatic boundary detection by integrating adaptive smoothing and vector gradient approach", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); doi: 10.1117/12.206691; https://doi.org/10.1117/12.206691
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KEYWORDS
Colorimetry

Smoothing

Signal to noise ratio

Detection and tracking algorithms

Sensors

Edge detection

Image processing

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