Object Recognition Is Acchived Through LBP, LTP and RLBP

Abstract

In this paper two sets of edge-texture features are proposed such as Discriminative Robust Local Binary Pattern (DRLBP) and Discriminative Robust Local Ternary Pattern (DRLTP) for object recognition. The proposed DLBP and DRLTP are derived from the drawback of the Local Binary Pattern (LBP), Local Ternary Pattern (LTP) and Robust LBP (RLBP). It solves the problem of the bright object against dark background vice-versa which LBP and LTP fail to detect. DRLBP resolves the problem of the LBP code and their complement of RLBP code in the same block are mapped to the same. The proposed feature retains contrast information for representation of object contours the LBP, LTP and RLBP fail to identify. By this proposed features the objects in the image can be further analyzed for the exact location of the object in the given image.