It has been shown that humans use some perceptual tex­ tural features such as coarseness, contrast and direction to distinguish beMeen textured images or regions. The aim of this paper is to present a new method to estimate these perceptual textural features using the autocovariancefunc­ tion. Computational measures derivedfrom the autocovari­ ance function to estimate these perceptual textural...

The aim of the present study was to design, implement and evaluate a software system for discriminating between metastatic and primary brain tumors (gliomas and meningiomas) on MRI, employing textural features from routinely taken T1 post-contrast images. The proposed classifier is a modified probabilistic neural network (PNN), incorporating a non-linear least squares features transformation (L...

The accurate extraction and mapping of built-up areas play an important role in many social, economic, and environmental studies. In this paper, we propose a novel approach for built-up area detection from high spatial resolution remote sensing images, using a block-based multi-scale feature representation framework. First, an image is divided into small blocks, in which the spectral, textural,...

This paper presents a system to support medical diagnosis and detection of abnormal lesions by processing endoscopic images. Endoscopic images possess rich information expressed by texture. Texture information can be efficiently extracted from medium scales of the wavelet transform. The set of features proposed in this paper to encode textural information is named color wavelet covariance (CWC)...

Motivated by the success of speech characteristics representation by color attributes, we analyzed the cross-modal sentiment correlations between voice source characteristics and textural image characteristics. For the analysis, we employed vowel sounds with representative three phonation differences (modal, creaky and breathy) and 36 texture images with 36 semantic attributes (e.g., banded, cr...

This paper aims at introducing a textural pattern analysis approach to Plasmodium vivax (P. vivax) detection from Leishman stained thin blood film. This scheme follows retrospective study design protocol where patients were selected at random in the clinic. The scheme consists of four stages – artefacts reduction, fuzzy divergence-based segmentation of P. vivax infected region(s) and normal ery...

objective(s): according to the unique properties of magnetic nanoparticles, nickel metal-organic frameworks (mof) was synthesized successfully by ultrasound irradiation. metal-organic frameworks (mofs) are organic–inorganic hybrid extended networks that are constructed via covalent linkages between metal ions/metal clusters and organic ligands called a linker. materials and methods: the nanopar...

The selection of suitable features is the most critical part of any classification process. In the area of textural classification, one way to determine if the features are suitable is to synthesize an image which has the given textural features. An algorithm for synthesizing textures that have a set of given cooccurrence matrices is presented, and it is shown that these synthetic images do ind...

Istituto Nazionale di Fisica Nucleare (INFN)-Bari, Italy Universitá and INFN di Bari, and Center of Innovative Technologies for Signal Detection and Processing, Italy Dipartimento di Fisica, Università di Siena and INFN-Cagliari, Italy Struttura Dipartimentale di Matematica e Fisica, Università di Sassari and INFN-Cagliari, Italy Istituto Nazionale di Fisica Nucleare-Torino, Italy Dipartimento ...

The application of crop residue has become increasingly important for providing a barrier against water and wind erosion and improving soil organic matter content, infiltration, evaporation, temperature, and soil structure. The objectives of this work were to: (i) estimate maize residue cover (MRC) from Landsat-8 OLI images using seven vegetation indices (VIs) and eight textural features; and (...