Call For Paper Volume:4 Issue:6 Jun'2017

A Robust Object Recognition using LBP, LTP and RLBP

Publication Date : 30/11/2014



Author(s) :

Vany.S , Karthi Prem.S , Udhayachandrika.A.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

In this paper two set of edge-texture features is 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).The LBP code and the RLBP code are mapped in the same block .The proposed feature solves the problem of discrimination between a bright object against dark background and vice-versa. The proposed feature retains contrast information for representation of object contours the LBP, LTP and RLBP discards. By this proposed features the objects in the image can be further analyzed for the exact location of the object in the given image.


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A Robust Object Recognition using LBP, LTP and RLBP

December 4, 2014