Image segmentation is the process of finding out all non-overlapping distinct regions from the given image based on certain criteria such as intensity, color, texture or shape. This paper proposes a two level hybrid non classical model for image segmentation based on pixel color and texture features of the image. The first level uses Fuzzy C-Means (FCM) unsupervised method to form a clustering ...

Multispectral images of color-thermal pairs have shown more effective than a single color channel for pedestrian detection, especially under challenging illumination conditions. However, there is still a lack of studies on how to fuse the two modalities effectively. In this paper, we deeply compare six different convolutional network fusion architectures and analyse their adaptations, enabling ...

©2002, IS&T—The Society for Imaging Science and Technology initial processing stages, any digital image capture device is an additive color reproduction system because the optoelectronic sensor captures or sums photons. Therefore its raw spectral sensitivities must all be positive.6–8 However, when the raw RGB space is electronically varied, the resulting spectral sensitivities may have negativ...

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...

Color information is very important in setting the style of images, but always influenced by internal and external imaging factors. For this reason, it is necessary to eliminate color inconsistency between different views in multi-view imaging. Up to now, many color transfer methods have been proposed mainly for vivid color appearance, in which the mean, variance, or covariance information are ...

Reversible color component transforms derived by the LU factorization are briefly described. It is possible to obtain an reversible implementation to a given component transform, even if the original transform is irreversible. Some examples are presented and their performances are compared in image compression. key words: component transform, reversible transform, image compression, LU factoriz...

In sports, large amounts of data are measured and stored with the help of modern sensors and electronic devices. In particular, for endurance sports events, time-varying data are recorded and can be used to analyze the athletes’ performance. Finding patterns and issues can help better understand results in sports competitions, which is of interest for the athletes, sports managers, and trainers...

Performing foreground / background segmentation in outdoor scene is very challenging. Starting from a stateof-the-art color-based approach [8], we propose three improvements: the use of the YCoCg color space, a spherical association volume, and a cast shadows management approach. Using image sequences with ground truth at pixel-level, we quantitatively measured the performances of the proposed ...

LAR video is a low complexity system for low bit-rate color image sequence encoding. It aims to propose a joint solution for coding and representation of the frame content. In particular, it allows to provide a compressed description of both chromatic components and motion information at a region level without region partition encoding. Initialy proposed in the LAR coder, used principle has pro...