Image classification can benefit from incorporating texture by enabling an increased number of classes and improving thematic accuracy. Incorporating texture also involves special attention in a number of aspects that range from the texture source to the evaluation of accuracy through pre-processing, training strategy and choosing a texture extraction paradigm and a classifier. Without special ...

Texture features are widely used in image retrieval literature. However, conventional texture features are extracted from grayscale images without taking color information into consideration. We present two improved texture descriptors, named color Gabor wavelet texture (CGWT) and color Gabor opponent texture (CGOT), respectively, for the purpose of remote sensing image retrieval. The former co...

Irrigation land suitability assessment and mapping play an imperative role for sustainable utilization of scarce physical land resources. The objectives of this study were to prepare spatial data base of physical land resources for irrigated agriculture and to assess land suitability for irrigation and developing suitable area map for the study area. The study was conducted at Fogera catchment,...

Texture measures are commonly used to increase the number of input bands in order to improve classification accuracy, especially for panchromatic or true colour imagery. While the use of texture measures in pixel-based analysis has been well documented, this is not the case for texture measures calculated in an object-based environment. Because texture calculations are computer intensive, fewer...

A framework for studying texture in general, and for texture mixing in particular, is presented in this paper. The work follows concepts from universal type classes and universal simulation. Based on the well-known Lempel and Ziv (LZ) universal compression scheme, the universal type class of a one dimensional sequence is defined as the set of possible sequences of the same length which produce ...

Natural images can be seen as patchworks of different textures for which local image statistics are roughly stationary within confined regions but otherwise can be highly diverse. In order to model the natural variety of textures, we sampled 64×64 patches of homogeneous textures from a large image database and described each patch by a set of texture parameters obtained with a popular texture a...

olive is a perennial evergreen tree which has good adaptability to poor environmental conditions such as salt and drought resistance. in recent years, there is a tendency to plant olive trees in green spaces. therefore, this study was carried out to evaluate 15 olive cultivars regarding growth habit, form, and texture to recommend for landscape. six-year-old trees of 15 olive cultivars, which h...

In recent years there has been growing interest in recognition models using local image features for applications ranging from long range motion matching to object class recognition systems. Currently, many state-of-the-art approaches have models involving very restrictive priors in terms of the number of local features and their spatial relations. The adoption of such priors in those models ar...

Intravascular ultrasound (IVUS) represents a powerful imaging technique to explore coronary vessels and to study their morphology and histologic properties. In this paper, we characterize different tissues based on radial frequency, texture-based, and combined features. To deal with the classification of multiple tissues, we require the use of robust multiclass learning techniques. In this sens...