Texture remains largely underutilized in the analysis of remote sensed datasets compared to descriptors based on the orthogonal spectral dimension. This paper describes our recent efforts towards using texture to automate the annotation of remote sensed imagery Two applications are described that use the homogeneous texture descriptor recently standardized by MPEG-7. In the Jirst, higher-level ...

Texture analysis has been used extensively in the computer-assisted interpretation of digital imagery. A popular texture feature extraction approach is the grey level co-occurrence probability (GLCP) method. Most investigations consider the use of the GLCP texture features for classification purposes only, and do not address segmentation performance. Specifically, for segmentation, the pixels i...

A large number of algorithms have been proposed for texture image retrieval and analysis. While each algorithm has its own characteristics and is suitable for indexing some particular categories of images, there is a lacking of an effective strategy to integrate these algorithms to maximize the retrieval performance based on the algorithms available. Our first step in this direction is to build...

This article introduces an idea for novel way of mapping textures onto a surface of 3D model. Our technique is based on two interlocking mappings, the first one maps surface vertices onto computed skeleton and the second maps surrounding area of each skeleton segment into a rectangle with dimensions based on surface properties around this segment. Furthermore, these rectangles are packed into a...

Abstract The assessment of land suitability is the key to sustained agricultural output. Thus, study aimed assess for irrigation development in West Shewa zone, Oromia, Ethiopia. A GIS-based analytical hierarchy process was applied evaluate a multi-criteria analysis. factors such as soil (depth, drainage, texture, pH, organic carbon, available water content, and salinity), slope, use/cover, pro...

The problem of texture recognition is addressed by studying appropriate descriptors in the spatial frequency domain. During a training phase a filter is configured to determine different classes of texture by the response of its correlation with the Fourier spectrum of training-image templates. This is achieved by genetic algorithm-based optimisation. The technique is tested on standard texture...

Texture mapping system with energy dispersive X-ray diffraction method has been newly developed. Total time of measurement was reduced more than half by the adoption of a fast data transmission interface. Some examples are demonstrated in order to show the performance of the system. This approach is suitable for the study of local inhomogeneities of texture, such as colonies, in polycrystalline...

A system is proposed which analyzes various textures statistically or structurally, depending on the nature of the textures. The system first describes a texture globally by both gray level first order statistics and edge statistics to roughly classify it. Next, the system extracts homogeneous gray level regions to try to describe the texture structurally. However, if too many regions are extra...

<span>The field of wild fish classification faces many challenges such as the amount training data, pose variation and uncontrolled environmental settings. This research work introduces a hybrid genetic algorithm (GA) that integrates simulated annealing (SA) with back-propagation (GSB classifier) to make process. The is based on determining suitable set extracted features using color sign...