DocumentCode :
3351253
Title :
Design of a DSP-based CMOS imaging system for embedded computer vision
Author :
Xu, Fen ; Zeng, Jian-Jun ; Zhang, Yun-Long
Author_Institution :
Coll. of Mechatron. Eng., North China Univ. of Technol., Beijing
fYear :
2008
fDate :
21-24 Sept. 2008
Firstpage :
430
Lastpage :
433
Abstract :
With the advance of image processing techniques and the fast reduction of image sensor costs, embedded computer vision is becoming a reality. This paper presents the design and implementation of an integrated CMOS imaging system based on DM642. The system can acquire VGA resolution image at 100 frame/s. The on-board 10 Mbps Ethernet connection and the UART as well as digital I/O ports provide convenience for direct interface to other intelligent devices. The on-board software provides image acquisition function, network-based control, network-based data transfer, JPEG compression, image pre-processing functions, edge detection function. Automatic exposure control and automatic white balance are realized in the system. Experiments show that the CMOS imaging system has a good performance in terms of imaging quality, with much potential for being used as intelligent vision system.
Keywords :
CMOS image sensors; computer vision; digital signal processing chips; image processing; DM642; DSP-based CMOS imaging system; JPEG compression; bit rate 10 Mbit/s; edge detection function; embedded computer vision; image acquisition function; image pre-processing functions; image processing techniques; image sensor cost reduction; imaging quality; intelligent vision system; network-based control; network-based data transfer; Automatic control; CMOS image sensors; Computer vision; Costs; Ethernet networks; Image coding; Image processing; Image resolution; Image sensors; Transform coding; CMOS Imaging System; DM642; Embedded Computer Vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
Type :
conf
DOI :
10.1109/ICCIS.2008.4670862
Filename :
4670862
Link To Document :
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