Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/55875
Type: | Conference paper |
Title: | Color image segmentation using global information and local homogeneity |
Author: | Wang, H. Suter, D. |
Citation: | International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2003: pp.89-98 |
Publisher: | CSIRO Publishing |
Publisher Place: | Sydney |
Issue Date: | 2003 |
ISBN: | 064309041X |
Conference Name: | Digital Image Computing: Techniques and Applications (2003 : Sydney, Australia) |
Statement of Responsibility: | Hanzi Wang and David Suter |
Abstract: | This paper proposes a new method of color image segmentation considering both global information and local homogeneity. The method applies the mean shift algorithm in the hue and intensity subspace of HSV. The cyclic property of the hue component is also considered in the proposed method. Experiments on natural color images show promising results. |
Description (link): | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.5.2219 |
Appears in Collections: | Aurora harvest Computer Science publications |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.