In this paper we focus on the classi®cation of colour texture images. The main objective is to determine the contribution of colour information to the overall classi®cation performance. Three relevant approaches to grey scale texture analysis, namely local linear transforms, Gabor ®ltering and the co-occurrence approach are extended to colour images. They are evaluated in a quantitative manner ...

In this paper, we describe a new method to identify the writer of handwritten documents. There are many methods for signature verification or writer identification, but most of them require segmentation or connected component analysis. They are the kinds of content dependent identification methods as signature verification requires the writer to write the same text (e.g. his name). In our new m...

This talk presents our researches on the application of mathematical morphology, which is a mathematical framework of quatitative image manipulations, to the characterization and manipulation of textures. A texture is considered as a repetitive arrangement of homothetic magnifications of a small object called primitive. The shape and arrangement of the primitive are estimated by a method based ...

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...

The author presents an automatic texture analysis image processing technique for determining the differentiation status of stem cells in time-lapse data. Haralick texture features, and their prerequisite gray-level co-occurrence matrices, were used to quantify texture samples, linear discriminant analysis for dimensionality reduction while preserving class discrimination, and support vector mac...

Food Quality is the quality characteristics of food that is acceptable to consumers. This includes external factors as appearance (size,shape, color, gloss) texture and flavor factors. Most of these characteristics are assessed visually by an expert. But the results are not up to the mark as the results may vary from one expert to another. Also the results are influenced by some external factor...

We present a method for binary texture synthesis based on thresholds of Gaussian random fields. The method enables us to reproduce the average value and correlation function of the observed texture. The method is comparatively simple, and it seems to be effective for a wide class of random binary textures. In the paper we discuss properties of the method and illustrate its performance in the st...

We present a method for analyzing and resynthesizing inhomogeneously textured regions in images for the purpose of advanced compression. We first define image blocks in a way that they cover regions with homogenious texture. These blocks are transformed each in turn. For the transform we use the so called Principle Component Analysis. After the transform into the new domain we statistically ana...

The present study was undertaken to develop a modified texture analysis algorithm based on the properties of texture spectrum (TS) domain for the satellite images. In texture analysis some specific spatial filters are required, which can transform the image based on the textural features instead of changing the spectral properties; the image is thus characterized by its texture spectrum. This p...

Texture analysis is one of the important as well as useful tasks in image processing applications. Many texture models have been developed over the past few years and Local Binary Patterns (LBP) is one of the simple and efficient approach among them. A number of extensions to the LBP method have been also presented but the problem remains challenging in feature vector generation and comparison....