Rasigiri Venkata lakshmi

Work place: Dept.of CSE, University College of Eng. JNTUK, Kakinada, 533003, India

E-mail: rasigiri.venkatalakshmi@gmail.com


Research Interests: Image Compression, Image Manipulation, Image Processing


R. Venkata Lakshmi received B.Tech degree in Computer Science & Engineering from Acharya Nagarjuna University. She received her M.Tech degree in Computer Science & Engineering from Andhra University. Presently she is doing her Ph.D in JNTU kainada. Her Area of interest is 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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