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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minami, Toshi Shinohara, Katsuyuki |
| Copyright Year | 1979 |
| Abstract | The multiple grid(MG) chain code which uses four different square grids is proposed to encode line drawings. The main processes adopted in the code are: 1) a grid selection algorithm which allocates quantization points only to the vicinity of the course of a line drawing, 2) labeling rule on quantization points which makes the frequency of some codes larger than that of other codes, and 3) quantization points allocation-not to the corners, but to the sides of a square which makes the straight line segments larger without increasing quantization error. A performance comparison of various chain codes is made from the viewpoints of the encoding efficiency, naturalness of the encoded lines, and the rate distortion measure. Also, the superiority of the MG chain code to other codes is shown. At last, application of the MG chain code to the electronic blackboard system is explained. |
| Sponsorship | IEEE Computer Society |
| Starting Page | 269 |
| Ending Page | 276 |
| Page Count | 8 |
| File Size | 1219553 |
| File Format | |
| ISSN | 01628828 |
| Volume Number | PAMI-8 |
| Issue Number | 2 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1986-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Encoding Quantization Engineering drawings Labeling Computer graphics Radio spectrum management Rate-distortion Distortion measurement Application software Rate distortion theory rate distortion theory electronic blackboard geometric probability line drawing encoding multiple grid chain code quantization error |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Computational Theory and Mathematics Computer Vision and Pattern Recognition Software |
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