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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cao Aizeng Han Yanbin Yin Jianqin |
| Copyright Year | 2009 |
| Abstract | The image match technology has become one of domain key technologies in pictorial information processing, and it has the widespread application background. Existed image match algorithm may divide into two kinds: one is based on image geometry characteristic match and another is based on picture element grey level match.It is mainly used correlation method of correlates to realize the template match algorithm which is based on the pixel grey level. And the key is how to reduce the computation load. The main idea of this algorithm is to find the parts of close region by gradation projecting in those searched regions first. Then makes the correlation computation in these regions in order to discover the most superior match region. |
| Starting Page | 359 |
| Ending Page | 361 |
| File Size | 789162 |
| Page Count | 3 |
| File Format | |
| ISBN | 9780769536002 |
| DOI | 10.1109/IFITA.2009.207 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-15 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Correlation coefficient Correlation gradation projection vector Information technology template match Sorting norm Geometry Information science Satellites Image matching Information processing Pixel |
| Content Type | Text |
| Resource Type | Article |
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