Title :
A real-time high performance edge detector for computer vision applications
Author :
Alzahrani, Fahad ; Chen, Tom
Author_Institution :
Dept. of Electr. Eng., Colorado State Univ., Fort Collins, CO, USA
Abstract :
We present a high performance edge detection architecture for real-time image processing applications. The architecture is finely pipelined. The proposed ASIC is capable of producing one edge-pixel every clock cycle. At a clock rate of 10 MHz, the architecture can process 30 frames per second, where the size of each frame is 640×480 8-bit pixels. The ASIC was laid out and fabricated using Samsung´s 0.8 μm double-metal CMOS process
Keywords :
CMOS integrated circuits; VLSI; application specific integrated circuits; computer vision; edge detection; 0.8 mum; 10 MHz; 307200 pixel; 480 pixel; 640 pixel; ASIC; Samsung´s 0.8 μm double-metal CMOS process; clock rate; computer vision; real-time high performance edge detector; real-time image processing; Application software; Clocks; Computer vision; Detectors; Image edge detection; Neodymium; Noise figure; Silicon; Smoothing methods; Very large scale integration;
Conference_Titel :
Design Automation Conference, 1997. Proceedings of the ASP-DAC '97 Asia and South Pacific
Conference_Location :
Chiba
Print_ISBN :
0-7803-3662-3
DOI :
10.1109/ASPDAC.1997.600357
