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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaojuan Ban Xiaolong Lv Jie Chen |
| Copyright Year | 2009 |
| Description | Author affiliation: School of Information Engineering, University of Science and Technology Beijing, China (Xiaolong Lv) || School of Automatization, Beijing Institute of Technology, China (Jie Chen) || School of Information Engineering, University of Science and Technology Beijing, 100083, China (Xiaojuan Ban) |
| Abstract | Color image retrieval and classification are very important in the field of image processing. In this paper, we propose a method which is in token of color characteristic of one image using hue and thereby is used to calculate similarity between two pictures. We also take F-Stat. Measure to find the best threshold so that we can realize fuzzy partition, and finally fuzzy c-means algorithm is used to do image classification and the calculation of subjection degree of one picture in the corresponding class. The corresponding mathematical model is established. Also, we construct a frame in which image comparability is obtained through fuzzy similarity measure based on hue feature vector of image, thus image retrieval is finished, and image classification is realized by fuzzy clustering. The comparison of image retrieval result between RGB feature vector and only-hue feature vector in token of image characteristic is taken. The experiment shows that the idea which takes this fuzzy similarity measure and fuzzy clustering method as the scheme of image retrieval and classification is reasonable and effective. |
| Starting Page | 7777 |
| Ending Page | 7782 |
| File Size | 1334025 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438716 |
| ISSN | 01912216 |
| DOI | 10.1109/CDC.2009.5400757 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Color Image retrieval Clustering methods Image classification Artificial intelligence Lighting Image processing Educational technology Clustering algorithms Large-scale systems fuzzy clustering image retrieval image classification fuzzy similarity measure |
| Content Type | Text |
| Resource Type | Article |
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