Detection and Enhancement of Line Structures in an Image by Anisotropic Diffusion
This paper describes a method to enhance line structures in a gray level image. For this purpose, we blur the image using anisotropic gaussian filters along the directions of each line structures. In a line structure region the gradients of image gray levels have a uniform direction. To find such line structures, we evaluate the uniformity of the directions of the local gradients. Before this evaluation, we need to smooth out small structures to obtain line directions. We, first, blur the given image by a set of gaussian filters. The variance of the gaussian filter which maximizes the uniformity of the local gradient directions is detected position by position. Then, the line directions in the image are obtained from this blurred image. Finally, we blur the image using anisotropic filter again along the directions, and enhance every line structure.
KeywordsLine structure enhancement multi-resolution analysis anisotropic filter structure tensor
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- 2.T. Lindeberg, Scale-space theory in computer vision, Kluwer, Boston, 1994.Google Scholar
- 4.J. Weickert, Multiscale texture enhancement, Lecture Notes in Comp. Science, vol.970, Springer, Berlin, 230–237, 1995.Google Scholar
- 5.J. Weickert, A Review of Nonlinear Diffusion Filtering, Lecture Notes in Comp. Science, vol.972, Springer, Berlin, 3–28, 1997.Google Scholar
- 6.Bart M. ter Haar Romeny(Ed.), Geometry-Driven Diffusion in Computer Vision, Kluwer Academic Publishers, 1–38, 1994.Google Scholar
- 7.Bart M. ter Haar Romeny, Introduction to Scale-Space Theory: Multiscale Geometric Image Analysis, Technical Report No. ICU-96-21, Utrecht University, 1996.Google Scholar