Pavement texture segmentation using LBP and GLCM for visually impaired person

Abstract

This paper proposes about a method for region segmentation and texture extraction to classify pavement and roadway region in the image that acquired from cameras equipped to the visually impaired person during a walk. First, detect a road boundary line through the line detections technique using the Hough transform, and obtain candidate regions of pavement and roadway. Second, extract texture feature in segmented candidate region, and separated pavement and roadway regions as classified three levels according to perspective scope in triangular model. In this paper, used rotation invariant LBP and GLCM to compare the difference of texture feature that pavement with various precast pavers and relatively a roadway being monotonous. Proposed method in this paper was verified that the analytical performance nighttime did not deteriorate in comparison with the results from the daytime, and region segmentation performance was very well in complex image has various obstacles and pedestrians.