| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 385587 | Expert Systems with Applications | 2011 | 9 Pages |
Abstract
⺠Classify all of the pixels in an image into several clusters according to their colors. ⺠By measuring the spatial distance among the pixels in a same cluster, the three types of color spatial distribution (CSD) features of the image is obtained. ⺠Based on the three types of CSD features, three image retrieval methods are also provided. ⺠To accelerate the image retrieval methods, a fast filter is also presented to eliminate most undesired images in advance. ⺠A genetic algorithm is also given to decide the most suitable parameters which are used in the proposed image retrieval methods.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chuen-Horng Lin, Der-Chen Huang, Yung-Kuan Chan, Kai-Hung Chen, Yen-Jen Chang,