The Hardware Solution of a New Image Processing Algorithm

This paper presents a new image-based parking space detection algorithm, the algorithm is based on a joint decision on multi-feature image processing algorithms, according to the data threshold of variance, correlation and edge-point density joint adjudicate the seize of paring space, it has a high recognition rate. And then the authors transplanted this algorithm into the FPGA platform, the hardware solution are implemented. And according to the algorithm characteristics the authors improved and optimized it. And the final, a compared test between hardware and software algorithms was executed, which results show that, the hardware algorithm for the solution is not only maintain a high recognition rate, but also more efficient. DOI: 10.4018/japuc.2012040104 42 International Journal of Advanced Pervasive and Ubiquitous Computing, 4(2), 41-47, April-June 2012 Copyright © 2012, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. other characteristics identification method to detect each individual parking space (Tsai, Hsieh, & Fan, 2005). In order to obtain a higher recognition rate, we propose three parameters, namely variance, correlation and edge point density (Deng, Jiang, & Wei, 2006). These three parameters are the exemplification of mathematical, image and edge characteristics, in order to reflect the parking spaces between cars and no car. The specific detection of the following steps.