| Summary: | 碩士 === 淡江大學 === 電機工程學系碩士班 === 98 === In this thesis, a Hardware/Software (HW/SW) codesigned method based on a multiple master-slave system architecture is proposed to implement a real-time human face detection. In the design and implementation of real-time human face detection, a software and hardware codesign method which integrates C language and Hardware Description Language (HDL) based on a SOPC (System on a Programmable Chip) technique is applied to design five image processing modules: (1) Image Binary, (2) Image Enhancement, (3) Edge Detection, (4) Object Segmentation, and (5) Feature Comparison. In order to get real-time image processing, these modules which cost more computing time are implemented by using hardware accelerating circuits. Then, in the multiple master-slave system architecture, multiple master units are design to accelerate the process speed of image capture and display. Some experiment results illustrate that the image processing time is reduced effectively by the proposed method at the DE2-70 development board so that a real-time human face detection can be implemented.
|
|---|
