Two approaches to the characterization of three-dimensional (3-D) textures are presented: one based on gradient vectors and one on generalized co-occurrence matrices. They are investigated with the help of simulated data for their behavior in the presence of noise and for various values of the parameters they depend on. They are also applied to several medical volume images characterized by the...

The proposed system identifies the species of the wood using the textural features present in its barks. Each species of a wood has its own unique patterns in its bark, which enabled the proposed system to identify it accurately. Automatic wood recognition system has not yet been well established mainly due to lack of research in this area and the difficulty in obtaining the wood database. In o...

We have developed new techniques to measure the magnetization and the coercivity of a uniaxial magnetic material using a torque magnetometer. The magnetization could be measured from the linear dependence at the low-field regime in a plot of the torque versus the applied magnetic field, where the direction of the applied field was perpendicular to the uniaxial orientation. The coercivity could ...

Image textural analysis technology has been widely used in the design of automated defect detection systems. Because the presence of defects may change the textural features of an image, a reference image without defects can be compared with the test image to detect whether there are any defects. However, besides defects, the deflection of the input test image could also change its textural fea...

The recognition of wood species is needed is many areas like construction industry, furniture manufacturing, etc.,. The wood is traditionally classified by human experts. But human identification of wood type is not accurate and the manual identification is a time consuming process. So in this study, an intelligent recognition for identification of wood species was developed. This study uses im...

Tree height is a fundamental parameter for describing the forest situation which can be determined by different means. In this paper a novel region based forest change detection method is proposed using panchromatic CARTOSAT-1 stereo imagery. In the first step, DSMs from two dates are generated based on a new dense matching methodology called semi-global matching. To achieve reliable change det...

We define the notion of indifferent set with respect to a given class of {0, 1}-sequences. Roughly, for a set A in the class, a set of natural numbers I is indifferent for A with respect to the class if it does not matter how we change A at the positions in I: the new sequence continues to be in the given class. We are especially interested in studying those sets that are indifferent with respe...

Since ten years, the multifractal analysis represents an original tool in signal and especially image processing. The multifractal methods in texture analysis are becoming efficient due to multifractal modelling and powerful methods in estimation of irregularities functions (exponent of Hölder) and multifractal spectrum. In this respect, we propose a multifractal approach for textural character...

This contribution deals with the discrimination between stratiform and convective cells in meteorological radar images. This study is based on a textural analysis of the latter and their classification using a Support Vector Machine (SVM). First, we applied different textural parameters such as energy, entropy, inertia and local homogeneity. Through this experience, we identified the different ...

Image texture classification is widely used in many applications and received considerable attention during the past decades. Several efforts have been made for developing image texture classification algorithms, including the Gray Level Co-Occurrence Matrix (GLCM), Local Binary Patterns and several K-View based algorithms. These K-View based algorithms included are K-ViewTemplate algorithm (K-...