Name
Abstract | ||
|---|---|---|
We discuss a cellular-automata ( CA) LSI core that extracts early features of objects in images, such as sizes and skeletons. A CMOS-image sensor with a CA core enables high-speed image processing. We propose an efficient CA algorithm based on rotated template matching. Each cell circuit in the proposed CA is implemented by a digital circuit, and transistors in each cell circuit number 198 in full customized design. The CA LSI consists of a large number of cell circuits operating in parallel to ensure fast, efficient object extraction as the number of cells increases. With a 0.25-mu m CMOS process, the total area of each cell circuit is 30x30 mu m(2). Simulation results indicated that image processing with 320x240 cells operates at up to 25MHz. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.20965/jrm.2005.p0372 | JOURNAL OF ROBOTICS AND MECHATRONICS |
Keywords | Field | DocType |
cellular automata, high-speed image processing, rotated erosion, CMOS image sensor, feature extraction | Template matching,Computer vision,Digital electronics,Vision chip,Image sensor,Computer science,Image processing,Feature extraction,Artificial intelligence,Digital image processing,Electronic circuit | Journal |
Volume | Issue | ISSN |
17 | 4 | 0915-3942 |
Citations | PageRank | References |
2 | 0.40 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Ikebe | 1 | 47 | 13.63 |
| Tetsuya Asai | 2 | 121 | 26.53 |