background: nowadays, analyzing human facial image has gained ever-increasing importance due to its various applications. image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. methods: among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness a...

Nowadays, analyzing human facial image has gained an ever-increasing importance due to its various applications. Image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. Among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness, and high precision...

We investigate the combined use of multiple structuring elements with the standard morphological texture characterization tools, namely morphological covariance and granulometry. The resulting operator is applied to both grayscale and color images in the context of texture classi cation. As to its extension to color texture data, it is realized by means of a weighting based reduced vector order...

The aim of this work is the evaluation of Multivariate Gaussian Mixture Model (MGMM) in different color spaces (RGB, L*a*b* and YC1C2 issued from IHLS). We have analyse the approach for the description of the color information in an image in the one hand and for the representation of a color image in the other hand. To achieve this goal we need an accurate estimation method of MGMM parameter se...

This thesis details the conception, development and analysis of a novel color texture descriptor based on the luminance-chrominance complex linear prediction models for perceptual color spaces. In this approach, two dimensional complex multichannel versions of both causal and non-causal models are developed and used to perform the simultaneous parametric power spectrum estimation of the luminan...

The processing and analysis of colour images has become an important area of study and application. The representation of the RGB colour space in 3D-polar coordinates (hue, saturation and brightness) can sometimes simplify this task by revealing characteristics not visible in the rectangular coordinate representation. The literature describes many such spaces (HLS, HSV, etc.), but many of them,...

The paper deals with the use of the various color pieces of information for segmenting color images and sequences with mathematical morphology operators. It is divided in four parts. The first one is concerning the choice of the color space suitable for morphological processing. The choice of a connection which induces a specific segmentation is discussed in section 2. Section 3 presents the co...

A new study has used magnetoencephalography to track cortical responses color as they emerge in time. Similarities and differences within these neural parallel characteristics of the perceptual experience color. It is still common describe vision terms two stages. In first, light spectrum sampled by three classes retinal cone receptors with different spectral sensitivities. second, signals are ...

One of the most common ways of communication in deaf community is sign language recognition. This paper focuses on the problem of recognizing Arabic sign language at word level used by the community of deaf people. The proposed system is based on the combination of Spatio-Temporal local binary pattern (STLBP) feature extraction technique and support vector machine classifier. The system takes a...