BACKGROUND AND PURPOSE Although the exact nature of the physiological differences between normal and multiple sclerosis (MS) brains are unknown, it has been shown that their global magnetization transfer ratio (MTR) values are significantly different. To more fully understand these differences, we examined MTR values by using 30 distinct measures. We provide a unique illustration of these diffe...

In most of the video analysis applications, object detection and tracking play vital role. Most algorithms fail to predict multiple objects with varying orientation. this paper, goal is identify track using different feature extraction methods like Locality Sensitive Histogram, Histogram Oriented Gradients Edges. These features are subjected train classifier that can detect orientations. Experi...

BACKGROUND AND PURPOSE Compared with conventional T2-weighted MR imaging, diffusion tensor MR imaging provides quantitative indices with increased specificity to the most destructive aspects of multiple sclerosis. In this study, we obtained brain mean diffusivity (_D) and fractional anisotropy histograms of patients with multiple sclerosis to compare them with those of healthy volunteers and to...

This paper proposes a new method for image searches and image indexing in databases with a color temperature histogram. The color temperature histogram can be used for performance improvement of content–based image retrieval by using a combination of color temperature and histogram. The color temperature histogram can be represented by a range of 46 colors. That is more than the color histogram...

introduction: multiple sclerosis (ms) is a demyelinating disease of the central nervous system (cns), affecting mostly young people at a mean age of 30 years. magnetic resonance imaging (mri) is one of the most specific and sensitive methods in diagnosing and detecting the evolution of multiple sclerosis disease. but it does not have the ability to differentiate between distinct histopathologic...

Thresholding is one of the popular and fundamental techniques for conducting image segmentation. Many thresholding techniques have been proposed in the literature. Among them, the minimum cross entropy thresholding has been widely adopted. Most minimum cross entropy thresholding methods use Gaussian distribution as an ideal reference histogram for the images to be thresholded. Clearly, it is do...

Kernel-based feature combination techniques such as Multiple Kernel Learning (MKL) use arithmetical operations to linearly combine different kernels (Lanckriet et al., 2004) (Orabona et al., 2010). We have discovered that the histograms of routinely used kernels are usually very different (see Fig.2 for example). This means that their units of measure are not the same, it is therefore necessary...

The well known method of histogram equalization for grey-level image enhancement is extended to color images in this paper. A method of direct 3-D histogram equalization is proposed which results in a uniform histogram of the RGB values. Due to the correlation between the bands, the principle on which grey-level (10) histogram equalization is based is not valid in the case of color images (3-0)...