Title :
A new method for texture classification based on wavelet transform
Author :
Loum, Georges ; Provent, Pierre ; Lemoine, Jacques ; Petit, Eric
Author_Institution :
Genie Electrique, INSET, Yamoussoukro, Ivory Coast
Abstract :
The wavelet transform provides several important characteristics which can be used in a texture classification problem. We present a new algorithm based on conventional pyramid-structured wavelet transform. The iteration of the basic decomposition is submitted to a variance criterion which is applied on the current lowpass subimage. This criterion helps to decide the level where the decomposition have to be stopped. This level depends on the texture properties. It is used as a feature to assign textures into different classes. Form factors computed from wavelet decomposition are then used to perfect the classification process in each class. The performance of our method is pointed out on various images and compared with Laws´s (1980) texture classification results
Keywords :
image classification; image texture; wavelet transforms; form factors; iteration; lowpass subimage; performance; pyramid-structured wavelet transform; texture classification; texture properties; variance criterion; wavelet decomposition; Classification algorithms; Filters; Image analysis; Image resolution; Image texture analysis; Performance analysis; Spatial resolution; Wavelet analysis; Wavelet packets; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1996., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-3512-0
DOI :
10.1109/TFSA.1996.546678