A novel technique for texture description and image classification based in RGB compositions

A Novel Approach to RGB Channel Based Image Steganography Technique

Archaeological Fragments Classification Based on Rgb Color and Texture Features

Artifacts are often found in archaeological excavation sites mixed with each other randomly. Therefore, classifying them manually is a difficult task and time consuming because they commonly exceed thousands of fragments. Thus, the aim of this study is to find a solution for classification of ancient pottery into groups by computer assistance. This is a preparatory stage for the next phase, whi...

Compact color-texture description for texture classification

Describing textures is a challenging problem in computer vision and pattern recognition. The classification problem involves assigning a category label to the texture class it belongs to. Several factors such as variations in scale, illumination and viewpoint make the problem of texture description extremely challenging. A variety of histogram based texture representations exists in literature....

Texture Based Hyperspectral Image Classification

This research work presents a supervised classification framework for hyperspectral data that takes into account both spectral and spatial information. Texture analysis is performed to model spatial characteristics that provides additional information, which is used along with rich spectral measurements for better classification of hyperspectral imagery. The moment invariants of an image can de...

Texture Classification for Content-Based Image Retrieval

An original approach to texture-based classification of regions, for image indexing and retrieval, is presented. The system addresses automatic macro-textured ROI’s detection, and classification: we focus our attention on those objects that can be characterized by a texture as a whole, like trees, flowers, walls, clouds, and so on. The proposed architecture is based on the computation of the ve...