Image segmentation is a procedure that partitions an image into disjointing segments with each segment sharing similar properties such as intensity, color, boundary and texture. In general, three main types of image features are used to guide image segmentation, which are intensity or color, edge, and texture. In other words, image segmentation methods generally fall into three main categories:...

Using concepts from statistics and probability theory and a least squares matching metric, the effects of various parameters on image plane motion measurements are demonstrated. Specifically, theoretical formulae defining the effect of noise in the intensity pattern, image contrast and interpolation method on both bias and variability in one-dimensional motion measurements are presented. Image ...

The Magnetic Resonance Image (MRI) may be valuable techniques for learning the structural property of the human brain. However, the reproducibility of imaging results, that arises from swish intensity variation happens the entirety MR image, named as Intensity in-homogeneity or nonuniformity. The intensity in-homogeneity may be a hurdles encountered in human and computer interpretations and ana...

Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting intersubject intensity variations through transforming all images from the given image gray scale into a standard gray scale wherein similar intensities achieve similar tissue meanings. The lack of a standard image intensity scale in MRI...

0167-8655/$ see front matter Crown Copyright 2 doi:10.1016/j.patrec.2009.09.010 * Corresponding author. E-mail addresses: [email protected] (U. Bağcı Udupa), [email protected] (L. Bai). URL: http://www.ulasbagci.net (U. Bağcı). Acquisition-to-acquisition signal intensity variations (non-standardness) are inherent in MR images. Standardization is a post processing method for correcting inter-su...

OBJECTIVE We present a novel intensity-based algorithm for medical image registration (IR). METHODS AND MATERIALS The IR problem is formulated as a continuous optimization task, and our work focuses on the development of the optimization component. Our method is designed over an advanced scatter search template, and it uses a combination of restart and dynamic boundary mechanisms integrated w...

The lack of a standard image intensity scale in MRI causes many difficulties in image display and analysis. A two-step postprocessing method is proposed for standardizing the intensity scale in such a way that for the same MR protocol and body region, similar intensities will have similar tissue meaning. In the first step, the parameters of the standardizing transformation are "learned" from a ...

In this paper, we propose a method to represent the image based on the image color constitute region, to retain the color texture information, and to reconstruct image by interpolation. The image would be segmented by the watershed algorithm to get color gradient direction as the texture information, and be represented by asymmetric and anti-packing model. The gradient direction would indicate ...