Disparity Estimation by Reverse Fuzzyfication
This paper presents an algorithm using fuzzy logic for computing disparity or stereo correspondence of the image sequences. For better achievements, reverse fuzzyfication method has been employed for disparity estimation. The algorithm stands on verdict the preeminent counterpart for every windows pixel in the left image with the consequent right image of all the pixels and setting the fuzzy value for measuring the stereo correspondence. In this method 3×3 window size has been used and every pixel has been considered for estimating stereo correspondence. Discrete membership function is used based on the basis of the pixel value difference between left and right images for fuzzyfication. Experimental results demonstrate that the proposed algorithms computational cost is much less than the fixed and adaptive window based methods, and it requires less memory space too. The proposed method has been applied to standard stereo images and the results imply that we can easily reduce the computational time of about 50％ with no appreciable degradation of accuracy.
fuzzy logic stereo matching stereo correspondence window cost
Abdul Mannan Mondal Haider Ali
Department of Computer Science and Engineering Dhaka City College affiliated by National University Department of Computer Science and Engineering University of Dhaka Dhaka, Bangladesh
国际会议
2010 International Conference on Signal and Information Processing(2010年IEEE信号与信息处理国际会议 ICSIP2010)
长沙
英文
234-237
2010-12-14（万方平台首次上网日期，不代表论文的发表时间）