The main aim of this work is to classify the satellite cloud images with high accuracy and good recognition rate using texture as a feature. This work is based on Orthogonal Polynomial Transformation (OPT) to extort the low level feature like texture. Texture is a central feature especially for classifying homogeneous images. For achieving high accuracy the multi resolution technique is used wi...

This paper proposes an image retrieval method based on multi-feature similarity score fusion using genetic Algorithm. Single feature describes image content only from one point of view and Fusing Multifeature similarity score is expected to improve the system's retrieval performance. In this paper, the retrieval results from color feature and texture feature are analyzed, and the method of fusi...

Recently, texture-based features have been used for digitized historical document image segmentation. It has been proven that these methods work effectively with no a priori knowledge. Moreover, it has been shown that they are robust when they are applied on degraded documents under different noise levels and kinds. In this paper an approach of evaluating CIFED 2014, pp. 41–56, Nancy, 18-21 mar...

In this study, an efficient feature fusion based technique for the classification of colour texture images in VisTex album is presented. Gray Level Co-occurrence Matrix (GLCM) and its associated texture features contrast, correlation, energy and homogeneity are used in the proposed approach. The proposed GLCM texture features are obtained from the original colour texture as well as the first no...