TEXTURE CHARACTERIZATION USING WSFS AND WCFS
Selvaraj Arivazhagan, Lambodaran Ganesan · International Journal of Image and Graphics · 2009
Texture analysis plays an important role in many tasks, ranging from remote sensing to medical imaging and query by content in large image data bases. The main difficulty of texture analysis in the past was the lack of adequate tools to characterize different scales of textures effectively. The development in multi-resolution analysis such as Gabor and wavelet transform help to overcome this difficulty. This paper describes the texture characterization system using (i) Wavelet Statistical Features (WSF) obtained from 3-level Discrete Wavelet Transformed (DWT) images, (ii) Wavelet Co-occurrence Features (WCF) of one level wavelet transformed images in detail.