Chromatic boundary detection by integrating adaptive smoothing and vector gradient approach

Soo-Chang Pei; Ching Min Cheng

doi:10.1117/12.206691

21 April 1995 Chromatic boundary detection by integrating adaptive smoothing and vector gradient approach

Soo-Chang Pei, Ching Min Cheng

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/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.

Citation Download Citation

Soo-Chang Pei and 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); https://doi.org/10.1117/12.206691

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