A system is proposed which analyzes various textures statistically or structurally, depending on the nature of the textures. The system first describes a texture globally by both gray level first order statistics and edge statistics to roughly classify it. Next, the system extracts homogeneous gray level regions to try to describe the texture structurally. However, if too many regions are extra...

Various approaches have been proposed in the literature for texture characterization of images. Some of them are based on statistical properties, others on fractal measures and some more on multi-resolution analysis. Basically, these approaches have been applied on mono-band images. However, most of them have been extended by including the additional information between spectral bands to deal w...

BACKGROUND Histologic image analysis plays an important role in cancer diagnosis. It describes the structure of the body tissues and abnormal structure gives the suspicion of the cancer or some other diseases. Observing the structural changes of these chaotic textures from the human eye is challenging process. However, the challenge can be defeat by forming mathematical descriptor to represent ...

This chapter reviews and discusses various aspects of texture analysis. The concentration is on the various methods of extracting textural features from images. The geometric, random field, fractal, and signal processing models of texture are presented. The major classes of texture processing problems such as segmentation, classification, and shape from texture are discussed. The possible appli...

We present a framework for computer aided detection and diagnosis based on segmented tissue mixtures in each voxel of the image. Detection is based on both the geometry and texture. Diagnosis is based on both the texture and feature extracted from the mixture segmentation.

The main objective of the proposed research is to evaluate the invariance of the cooccurrence texture model with respect to patient size in Computed Tomography (CT) data. Since patients’ scans can have high variation in pixel spacing, in order to standardize all patients’ texture descriptors, we investigate the effect of four interpolation techniques in reducing the pixel spacing variance: near...

abstract background: autosomal dominant polycystic kidney disease (adpkd) is an inherited disorder with genetic heterogeneity. up to three loci are involved in this disease, pkdi on chromosome 16p13.3, pkd2 on 4q21, and a third locus of unknown location. methods: here we report the first molecular genetic study of adpkd and the existence oflocus heterogeneity for adpkd in the iranian population...