Color Image Edge Detection by Robust Anisotropic Diffusion
Harold Ivan Angulo Bustos, Hae Yong Kim · Anais do 2002 International Telecommunications Symposium · 2002
Edge detection is an important operation in many image-processing applications. Anisotropic diffusion is one of most reliable edge detection methods.There are many anisotropic diffusion techniques for grayscale images.However, there are only few works on the diffusion for color images, and these all use the traditional diffusion function defined by Malik-Perona.Recently, "robust anisotropic diffusion" was proposed for grayscale images.This method is based on Tukey's robust estimator, and it converges much faster than traditional Malik-Perona's diffusion.Consequently, the new technique better preserves edges and attenuates undesirable noises.So, the edge detection becomes even more reliable.In this paper, we propose to use the Tukey's estimator to detect edges in color images.This technique is executed through two independent diffusion processes.In the first, the complex chromaticity function is diffused.The second process diffuses the scalar intensity.The results of these two diffusions are combined to detect edges.We have compared the obtained results with the Malik-Perona's conventional technique.The new method indeed converges faster, yielding sharper edges.