
	Information Technology Journal
	Year: 2008 \| Volume: 7 \| Issue: 6 \| Page No.: 883-889 DOI: 10.3923/itj.2008.883.889

Texture Classification Based on Extraction of Skeleton Primitives Using Wavelets

U.S.N. Raju, B. Eswara Reddy, V. Vijaya Kumar and B. Sujatha

Abstract: A novel method for dominant skeleton extraction of textures using different wavelet transforms, is proposed in this study. The skeleton varies depending on the shape of structuring element. If the structuring element is homothetic to the object, the object is covered with only one magnification of the structuring element. By this, the skeleton is reduced to one point. The present study considers the skeleton from a binary texture. The proposed method derives from the above that a total number of pixels within the skeleton is the minimum when structuring element is homothetic to the primitive. This provides the scope that the texture is composed of one primitive, which minimizes the total number of pixels. For evaluating such skeleton primitive the present study utilized a 3x3 structuring element, as the skeleton primitives. All possible skeleton primitives combinations of 3x3 mask are evaluated on all textures. The skeleton primitive that is making the least number of skeleton points is considered as dominant skeleton primitive. Based on the extraction of skeleton primitives a classification is made on textures using Haar, Daubechies, Coiflet and Symlet wavelets. Experimental results indicate a good classification and also a comparison is made among these four wavelet results. Present method is experimented on Brodatz textures using these four wavelets.

PDF Fulltext XML References Citation Report Citation

RELATED ARTICLES:

•	Implementation and Comparison of the License Plate Algorithms: A Case Study

•	Textural Fabric Defect Detection using Adaptive Quantized Gray-level Co-occurrence Matrix and Support Vector Description Data

•	Nested Circles Boundary Algorithm for Rotated Texture Classification

•	Effects of Hyperspectral Data Transformations on Urban Inter-class Separations using a Support Vector Machine

How to cite this article:

U.S.N. Raju, B. Eswara Reddy, V. Vijaya Kumar and B. Sujatha, 2008. Texture Classification Based on Extraction of Skeleton Primitives Using Wavelets. Information Technology Journal, 7: 883-889.

DOI: 10.3923/itj.2008.883.889

URL: https://scialert.net/abstract/?doi=itj.2008.883.889

COMMENT ON THIS PAPER

Navigation


		Online First
		Current Issue
		Previous Issues
		Editorial Board
		Submit a Manuscript
		Guide to Authors
		Subscribe to E-alerts

Indexed In


		ASCI-Database
		Asian Digital Library
		Google Scholar

Science Alert