This paper presents a new approach to characterize subtle diffuse changes in multiple sclerosis (MS) using histograms derived from magnetization transfer ratio (MTR) images. Two major parts dominate our histogram analysis; 1) Classification of MTR histograms into control and MS subgroups; 2) Correlation with current disability, as measured by the EDSS scale (a measure of disease severity). Two ...

This paper proposes a face identification method based on Contrast Limited Adaptive Histogram Equalization (CLAHE) robust to facial expressions, occlusion and specially to illumination changes. Based on Eigenphases algorithm for feature extraction, the Principal Components Analysis (PCA) and the Phase Spectrum was used as feature extraction stage, and Support Vector Machine (SVM) as a classifie...

Real-time Facial Expression analysis is one the important topics in the development of the next generation affect-sensitive user interfaces. However current algorithms and techniques are computationally expensive, and therefore are not suitable for real-time applications. In this paper we present a real-time system for analyzing the six basic facial expressions of the human user, using regressi...

Analysis of texture within tumours on computed tomography (CT) is emerging as a potentially useful tool in assessing prognosis and treatment response for patients with cancer. This article illustrates the image and histological features that correlate with CT texture parameters obtained from tumours using the filtration-histogram approach, which comprises image filtration to highlight image fea...

In this paper we present a new texture descriptor based on the shape operator defined in differential geometry. Then we describe the texture feature analysis process based on the spectral histogram. After that we describe a new algorithm for texture segmentation using this descriptor, statistics based on the spectral histogram, and mathematical morphology. Many results are presented to illustra...

Retinal image analysis is becoming eminent as a nonintrusive diagnosis method in modern ophthalmology. This paper is mainly focused on the early diagnosis of diabetic retinopathy by analysing and detecting of vascular structures in retinal images. When small vessels in the retina have high level of glucose, it produces blur vision which eventually leads to blindness. Usually retinal images are ...