@inproceedings{42094acf50324430964c6db9c13b237a,
title = "Geometric-variational approach for color image enhancement and segmentation",
abstract = "We merge techniques developed in the Beltrami framework to deal with multi-channel, i.e. color images, and the Mumford-Shah functional for segmentation. The result is a color image enhancement and segmentation algorithm. The generalization of the Mumford-Shah idea includes a higher dimension and codimension and a novel smoothing mea- sure for the color components and for the segmenting function which is introduced via the Γ-convergence approach. We use the Γ -convergence technique to derive, through the gradient descent method, a system of coupled PDEs for the color coordinates and for the segmenting function.",
author = "Ron Kimmel and Sochen, {Nir A.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 2nd International Conference on Scale-Space Theories in Computer Vision, 1999 ; Conference date: 26-09-1999 Through 27-09-1999",
year = "1999",
doi = "10.1007/3-540-48236-9_26",
language = "אנגלית",
isbn = "354066498X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "294--305",
editor = "Mads Nielsen and Peter Johansen and Olsen, {Ole Fogh} and Joachim Weickert",
booktitle = "Scale-Space Theories in Computer Vision - 2nd International Conference, Scale-Space 1999, Proceedings",
}