Real-time image video edge enhancement using hardware convolver
| Autor: | Zhang Zongcheng, Wang Hongyan, Liu Weixiao, Yu Ming |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Pixel
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Sobel operator Image processing Edge enhancement Edge detection Digital image processing Computer vision Artificial intelligence business Computer hardware Image gradient Feature detection (computer vision) |
| Zdroj: | Proceedings of TENCON '93. IEEE Region 10 International Conference on Computers, Communications and Automation. |
| DOI: | 10.1109/tencon.1993.328007 |
| Popis: | The system described is a real-time edge detector for use in image processing. The edge-detection algorithm is a 3/spl times/3 Sobel operator and adopts a new circuit of adding to orientation information. The hardware is designed to work at the 10 MHz pixel rate, and will accommodate images of 512/spl times/512 pixels at frames/s with noninterlaced video, or of up to 512/spl times/290 pixels with interlaced scanning. The hardware is pipelined and paralleled to achieve the required speed. 20 ms is needed to process a 512/spl times/290 pixels grey-level image. It may be used in military reconnaissance, TV real-time tracking or industry inspection. > |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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