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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Persoon, E. Nijholt, G. Maguire, G. O'Brien, J. |
| Copyright Year | 1990 |
| Description | Author affiliation: Philips Res. Lab., Eindhoven, Netherlands (Persoon, E.; Nijholt, G.) |
| Abstract | An overview of the requirements for industrial applications of computer vision is given. A method called multilevel input binary template matching, which applies binary template matching to gray-level images, is presented. With this method, a vision system can be tailored to the difficulty of the individual computer-vision application while maintaining high speed and high reliability in all cases. A full custom VLSI specially designed for binary template matching is discussed. This dedicated VLSI chip, called IRIS, has a configurable kernel up to a size of 1024 elements for 1-D or up to 32*32 elements for 2-D, and has integrated line buffers. Some application examples from the field of industrial automation are presented. |
| Starting Page | 402 |
| Ending Page | 407 |
| File Size | 683860 |
| Page Count | 6 |
| File Format | |
| ISBN | 0818620625 |
| DOI | 10.1109/ICPR.1990.119390 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1990-06-16 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image processing Image recognition Application software Computer vision Very large scale integration Computer industry Impedance matching Machine vision Computer applications Maintenance |
| Content Type | Text |
| Resource Type | Article |
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