E. Srinivasa Reddy

Work place: University College of Eng & Technology, ANU, Guntur, 522510, India

E-mail: edara_67@yahoo.com


Research Interests: Computational Learning Theory


Prof. Sreenivas R.E. received the B.Tech degree in Electronics & Communication Engienering from Nagarjuna University, India in 1988, M.S. degree from Birla Institute of Technology and Scince, India in 1997, M.Tech degree in Computer Science from Visveswaraiah Technological University, India in 2000 and Ph.D in computer science from Acharya Nagarjuna Univeristy, India in 2008. He is the senior member of IEEE and presented 11 papers in international conferences and 6 journal papers. His research interest includes image processing, biometrics and pattern recognition. He is currently supervising 2 Ph.D students who are working in different areas of image processing.

Author Articles
Texture Analysis Based on Micro Primitive Descriptor (MPD)

By Rasigiri Venkata lakshmi E. Srinivasa Reddy K. Chandra Sekharaiah

DOI: https://doi.org/10.5815/ijmecs.2015.02.05, Pub. Date: 8 Feb. 2015

Texture classification is an important application in all the fields of image processing and computer vision. This paper proposes a simple and powerful feature set for texture classification, namely micro primitive descriptor (MPD). The MPD is derived from the 2×2 grid of a motif transformed image. The original image is divided into 2×2 pixel grids. Each 2×2 grid is replaced by a motif shape that minimizes the local ascent while traversing the 2×2 grid forming a motif transformed image. The proposed feature set extracts textural information of an image with a more detailed respect of texture characteristics. The results demonstrate that it is much more efficient and effective than representative feature descriptors, such as Random Threshold Vector Technique (RTV) features and Wavelet Transforms Based on Gaussian Markov Random Field (WTBGMF) approach for texture classification.

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