Orientation Histogram Computation for Orientation Estimation

This paper we put forward an orientation histogram based algorithm for estimating local orientation angles after summarizing the existing orientation estimation methods and pointing out the problems of quadrature filters. The method computes the vector sum of all neighboring ball voting vectors for an object image pixel to get its orientation angle’s histogram and search out the peak value of the histogram as its orientation angle. These orientation angles are used for later tensor voting process as orientation information. Four groups of experiments are performed on typical contours to compare the contour inpainting effect and the precision. Experimental results on edge map of city road and noisy images show that the proposed algorithm works well as basic orientation estimation method for more intact contour, less clutter pixels and robust to noises.