Hemispheric processing of global form, local form, and texture of hierarchical patterns composed of many, relatively small elements and patterns composed of few, relatively large elements was examined in two experiments, employing a Stroop-type paradigm. In experiment 1 subjects were instructed to attend either to the global or the local level of the pattern and to identify the form at the desi...

Intensity overlap often occurs in medical images, making it difficult to identify different anatomical structures using intensity alone. Research studies have shown that texture is an important component in quantifying the visual appearance of anatomical structures, and is therefore valuable in the analysis, interpretation, and retrieval of lung nodules. The goal of our research study is to pre...

Automatic face recognition remains an interesting but challenging computer vision open problem. Poor illumination is considered as one of the major issue, since illumination changes cause large variation in the facial features. To resolve this, illumination normalization preprocessing techniques are employed in this paper to enhance the face recognition rate. The methods such as Histogram Equal...

A visual feature such as an edge may be signalled by one of any number of visual cues such as modulation of brightness, color, stereo disparity, motion, texture and so on. Here, a theory is reviewed which suggests that when more than one cue is available, separate location estimates are made using each cue, and the resulting estimates are averaged. Cues which are more reliable are given a corre...

Texture analysis of preoperative CT images of the liver is undertaken in this study. Standard texture features were extracted from portal-venous phase contrast-enhanced CT scans of 36 patients prior to major hepatic resection and correlated to postoperative liver failure. Differences between patients with and without postoperative liver failure were statistically significant for contrast (measu...

This paper describes peculiar qualitative effects occurring in texture appearance, resulting from the manipulation of the amount of textural microelements. Keeping fixed the textural local properties, the increase of microelements’ number produces a texture aspect more homogeneous and denser. Conversely, patterns filled by a small number of elements exhibit a more salient subparts’ articulation...

This work deals with computer analysis of tex­ tured surfaces. Descriptions of textures are form­ alized from natural language descriptions. Local texture descriptions are obtained from the direction­ al and non-directional components of the Fourier transform power spectrum. Analytic expressions are de­ rived for orientation, contrast, size, spacing, and in periodic cases, the locations of text...

We present a parametric statistical characterization of texture images in the context of an overcomplete complex wavelet frame. The characterization consists of the local autocorrelation of the coefficients in each subband, the local autocorrelation of the cofficent magnitudes, and the crosscorrelation of coefficient magnitudes at all orientations and adjacent spatial scales. We develop an effi...

This paper presents a color–texture descriptor based on the local mapped pattern approach for color–texture classification under different lighting conditions. The proposed descriptor, namely extended color local mapped pattern (ECLMP), considers the magnitude of the color vectors inside the RGB cube to extract color–texture information from the images. These features are combined with texture ...

Despite the fact that image texture features extracted from high-resolution remotely sensed images over urban areas have demonstrated their ability to distinguish different classes, they are still far from being ideal. Multiresolution grayscale and rotation invariant texture classification with Local Binary Patterns (LBPs) have proven to be a very powerful texture feature. In this paper we perf...