For image texture analysis

an invariant texture recognition algorithm is proposed based on Radon transform.Firstly

Radon transform is used to project the image to 1-D space

and then the projection data is transformed via a translation and scaling invariant adaptive 1-D wavelet transform

thus the feature matrix with translation and scaling invariance is derived.Multiscale analysis is employed for the feature matrix

and the energy values at different scales are proven not only to be invariant under image translation

scaling and rotation

but also to reflect the different energy distribution of the texture image at different scales.After the feature vector is availabe

support vector machine(SVM) is used for classification.Comparing with other methods simulations are given to obtain insight into the effectiveness of our method.