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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Suzuki, S. |
| Copyright Year | 1988 |
| Description | Author affiliation: NTT Human Interface Lab., Yokosuka, Japan (Suzuki, S.) |
| Abstract | A vectorization method for line patterns is proposed which converts digital binary images into line segment vectors. The vector data is more compact and more natural than that obtained by conventional methods using thinning operations. The proposed method consisted of four steps. First, thinning of an input binary image is performed. Then a medical line image obtained by the thinning operation is transformed into a graph, in which pixels on the medial line correspond to nodes and neighboring nodes are connected by edges. Next, extra edges unnecessary for preserving the topology of the medial line image are deleted. The deletion can be implemented as an iterative parallel operation. Finally, the graph is simplified by line approximation. Every step except the line approximation is suitable for parallel processing. The experimental results of applying the proposed method to geographical maps show that the method reduces data volume by about 30%, as compared with conventional methods.< |
| Starting Page | 616 |
| Ending Page | 621 |
| File Size | 477052 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818608625 |
| ISSN | 10636919 |
| DOI | 10.1109/CVPR.1988.196300 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-06-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Parallel processing Image converters Topology Character recognition Humans Image segmentation Pixel Image processing Shape Laboratories |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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