Classification of Different Textures Using SVM and Fuzzy logic

Texture classification is used in various pattern recognition applications that possess feature-liked appearance. Basically, it aims at classifying textured images into classes with the same texture features. Now a day’s classification based on wavelet transform is being very popular. This project has conducted a study on texture classification, by using wavelet transform as feature extraction method. The wavelet toolbox in MATLAB has been used to calculate the features for the textures. The features calculated are mean, maximum, standard deviation, median and mode. The features are found using haar transform with level 1 decomposition. The classifications methods used are SVM and fuzzy logic. Finally the accuracy of each classifying method is tested.