Method of Classification for Landscape Trees Based on Tree Texture Image Using Improved Support Vector Machine

摘要

A novel method for texture image classification was proposed by using dual-tree complex wavelets transform and support vector machines. The dual-tree complex wavelets transform was used to decompose texture image with four levels, feature vector was first used for training and later on for testing the support vector machine classifier. The experimental setup consists of twenty texture images from the Brodatz image database, results of experimental indicate that the presented method provide superior texture classification accuracy over other methods under the condition of limited training samples, and show the validity and the best generalization ability.