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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Liqiong Deng Danwen Chen Zhimin Yuan Lingda Wu |
| Copyright Year | 2010 |
| Description | Author affiliation: College of information system and management, National University of Defense and Technology, Changsha, China (Liqiong Deng; Danwen Chen; Zhimin Yuan; Lingda Wu) |
| Abstract | Aiming at the cartoon industry which has tremendous applications, a cartoon scene matching system is designed using an improved matching algorithm which fuses color feature and CSIFT (Colored invariant feature transform) feature. The global color statistical feature is obtained by calculating the distribution of three parameters: H, S and I. The CSIFT global feature is calculated based on the color invariance. Two corresponding matching algorithm is brought forward. Finally, the images are matched by fusing color and CSIFT features from two floors: the bottom feature extracting floor and the top feature deciding floor. Experimental results indicate that the two features make up each other, thus it improves matching results of the cartoon scene material greatly. Compared with traditional matching algorithm, the algorithm is robust, and the mean matching precision is up to 80% in the cartoon dataset which has near 500 images. |
| Starting Page | 2519 |
| Ending Page | 2524 |
| File Size | 414370 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424465132 |
| e-ISBN | 9781424465163 |
| DOI | 10.1109/CISP.2010.5647745 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis color cartoon Color match CSIFT algorithm Feature extraction Robustness Pixel Floors |
| Content Type | Text |
| Resource Type | Article |
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