DocumentCode :
1928286
Title :
Study of human face image edge detection based on DM642
Author :
Liu, Jinqing ; Huang, Yusheng
Author_Institution :
Sch. of Phys. & Opto-Electron. Technol., Fujian Normal Univ., Fuzhou, China
Volume :
8
fYear :
2010
fDate :
9-11 July 2010
Firstpage :
175
Lastpage :
179
Abstract :
Edge detection of human face is one of the important bases in human face detection and recognition. This article firstly summarizes the basic methods of edge detection and the basis of Sobel operator and Canny operator, then, from a practical perspective, puts forward an novel method that is based on the integration of improved Sobel operator and Canny operator, moreover its results are thinned lastly via the method of Improved OPTA. All of that above is implemented on TMS320 DM642EVM, using design Reference Framework 5 with high expansibility to design Application Program implemented by C and assembler mixed language, and afterward doing optimization according to the characteristics of DSP chip for the real-time purpose. The results testify that this approach is not only good at eliminating noise, but also can detect the edge quickly and completely, so it has well practical significance. All of that is a foregoing preparation for the achievement of the system of human face detection in application.
Keywords :
C language; assembly language; digital signal processing chips; edge detection; face recognition; C language; Canny operator; DM642; DSP chip; OPTA; Sobel operator; TMS320 DM642EVM; assembler mixed language; design reference framework; human face image edge detection; Gray-scale; Image edge detection; Radio frequency; DM642; edge detection; human face image; operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5537-9
Type :
conf
DOI :
10.1109/ICCSIT.2010.5563574
Filename :
5563574
Link To Document :
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