Texture Segmentation by using Haar Wavelets and K-means Algorithm

In this paper we focus on image segmentation by proposing a new algorithm based on Haar wavelet decomposition and K- means algorithm. When Haar wavelet decomposition is applied to an image it gives an idea about high frequency components. If higher levels of decomposition are performed, different texture region information can be captured. The paper deals with the texture segmentation of an image and to find the different types of textures present in an image and compares the results with Gabor filter and circular Gabor filter. The proposed Algorithm gives better results compared to other techniques.