Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Journal of Computer Science
Year: 2008  |  Volume: 4  |  Issue: 2  |  Page No.: 133 - 138

Classification of Textures by Avoiding Complex Patterns

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

Abstract: The present research advocates a new method for texture classification based on primitive patterns. For this, an optimal set of eight simple patterns are selected based on their discrimination. The percentage of frequency of occurrences is computed for these patterns on entire texture image. Textures can be classified by using frequency of occurrences, for complex patterns also. The present research proposes a scheme to completely avoid the computation of, frequency of occurrence for complex patterns. Further, an innovative scheme for determining the percentage of occurrences of upper and lower limits of complex patterns is focused in the present study. The experimental results proved the avoidance of computation of complex patterns. Finally, the experimental results on Brodatz textures indicate the clear classification of textures into classes by selecting simple patterns, but the classes are overlapped when complex patterns are applied.

View Fulltext    |   Related Articles   |   Back
 
 
   
 
 
 
  Related Articles

No Article Found
 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility