OBJECT RECOGNITION BASED ON LOCAL BINARY AND TERNARY PATTERNS

Authors

  • Shruthi C PG student, M.tech in Digital Electronic, Department of E&CE, SDM college of Engineering and Technology, Dharwad
  • Sumangala N. Bhavikatti Assistant Professor, Department of E&CE, SDM college of Engineering and Technology, Dharwad

Keywords:

Object recognition, local binary pattern, local ternary pattern, feature extraction, texture, DRLBP, DRLTP

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.

Downloads

Published

2015-05-25

How to Cite

Shruthi C, & Sumangala N. Bhavikatti. (2015). OBJECT RECOGNITION BASED ON LOCAL BINARY AND TERNARY PATTERNS. International Journal of Advance Research in Engineering, Science & Technology, 2(5), 361–364. Retrieved from https://ijarest.org/index.php/ijarest/article/view/181

Issue

Vol. 2 No. 5 (2015): Volume: 02, Issue: 05 - May, 2015.

Section

Articles