Fusion Cost Algorithm Based on the Process of Correcting Parameters with Color Information
Due to the high dependence of traditional Census algorithm on the center pixel,being sus-ceptible to light and noise,being unable to use the information of image color,and low accuracy of the sum of absolute differences(SAD)cost function,this paper proposes a local stereo matching algorithm which u-ses the information of color to correct the cost of pixels.In the cost calculation part,the improved SAD and Census algorithm are combined to form a data item of cost.In the cost aggregation part,the cross based ag-gregation is used to get the new data item of cost.Then using iteration,the parallax map with higher preci-sion can be obtained.By introducing the neighboring pixels with the information of color,the weight and the color correction parameters are calculated.Next,the algorithm optimizes the fusion cost value of the central pixel,and reduce the mismatching rate of SAD-Census algorithm.The experimental results show that the improved SAD-Census algorithm with color correction parameters can effectively reduce the mis-matching rate of the images,and is suitable for the image with low color information repetition.
stereo matchingweightSAD-Census algorithminformation of color
万方数据
维普
