Description

ABSTRACT:

          Here we propose homogeneous texture classification for different kind of textures. We

extract the gabor feature for the input image. Gabor filters are similar to those of the human visual

system, and they have been found to be particularly appropriate for texture representation and

discrimination It is a linear filter used for edge detection. Finally we classify the feature by the use

of Knn classifier. The classifier will predict the category of the image. the k-Nearest Neighbors

algorithm (or k-NN for short) is a non-parametric method used for classification and regression.

      In both cases, the input consists of the k closest training examples in the feature space. The

output depends on whether k-NN is used for classification or regression.