Multilayer segmentation of stereo image using webcam

This paper presents a multilayer segmentation of stereo images with reference to the displacement in the left and right images. A stereo image is given as left and right components, the corresponding matching is found by drawing random parallel lines in x-axis making the y-axis as constant. The edges is found in both the right and left images with its pixel position. The number of edges found in two components is noted down. Then the edge values are clustered with respect to the deviation found in the matching correspondence. The rough distance is calculated using the deviation clusters. The number of clusters represents the number of layers of the segmentation. Once the layers are determined the whole image is segmented with zero crossing by taking the displacement as the layer parameter. The algorithm is implemented and tested for single and multiple objects with various distances in feet.