OBJECT RECOGNITION BASED ON LOCAL BINARY AND TERNARY PATTERNS
PG student, M.tech in Digital Electronic, Department of E&CE, SDM college of Engineering and Technology, Dharwad, India
ABSTRACT
This paper proposes four sets of edge-texture features, those are; Local Binary Pattern (LBP), Local Ternary Pattern (LTP), Discriminative Robust Local Binary Pattern (DRLBP) and Ternary Pattern (DRLTP), for object recognition. By investigating the limitations of Local Binary Pattern (LBP), and Local Ternary Pattern (LTP) DRLBP and DRLTP are proposed as new features. They solve the problem of discrimination between a bright object against a dark background and vice-versa inherent in LBP and LTP. DRLBP also resolves the problem of RLBP whereby LBP codes and their complements in the same block are mapped to the same code. Furthermore, the proposed features retain contrast information necessary for proper representation of object contours that LBP, LTP, and RLBP discard.
