TY  - JOUR
T1  - Texture Classification Using Wavelet Based Laws Energy Measure
AU - , S. Suresh Kumar AU - , L. Ganesan 
JO  - International Journal of Soft Computing
VL  - 3
IS  - 4
SP  - 293
EP  - 296
PY  - 2008
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2008.293.296
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2008.293.296
KW  - Texture
KW  -wavelet
KW  -laws
KW  -wavelet laws energy measure
KW  -feature extraction
KW  -texture classification
AB  - Texture analysis plays a vital role in many tasks, ranging from remote sensing to medical imaging and query by content in large image data bases. The main difficulty of texture analysis in the past was the lack of adequate tools to extract the features for classification and segmentation. Although there are many techniques available they are not capable of classifying the universal textures because of their inherent limitations. In this study, a novel approach of feature extraction by combining the texture features at multiple scales based on block by block comparison of wavelet based Laws features. The performance of this classification is superior to traditional techniques. The efficiency of the proposed method is found to be better.
ER  -