This paper presents a particle swarm optimization (PSO) based approach for multiple object tracking based on histogram matching. To start with, gray-level histograms are calculated to establish a feature model for each of the target object. The difference between the gray-level histogram corresponding to each particle in the search space and the target object is used as the fitness value. Multi...

We present a new segmentation algorithm based on probabilistic histograms and introduce certainty calculus and certainty color maps to solve the difficult problem of histogram separation. This new method is then compared to simple histogram and normalized histogram techniques. Using a set of experiments designed to measure the quality of segmentation, we have shown that certainty color maps is ...

In this paper, a method for enhancing low contrast images is proposed. This method, called Gaussian Mixture Model based Contrast Enhancement (GMMCE), brings into play the Gaussian mixture modeling of histograms to model the content of the images. Based on the fact that each homogeneous area in natural images has a Gaussian-shaped histogram, it decomposes the narrow histogram of low contrast ima...

Histogram Equalization is a very effective and most widely used method to enhance the contrast of images. But in some situations where it is necessary to preserve the brightest factor of an image , histogram equalization does not works well and gives un-natural resultant images that are not desirable. A novel histogram equalization technique based on fuzzy logic is introduced in this paper. In ...

In this paper, a novel, and computationally fast method was proposed to classify ventricular tachycardia (VT) and ventricular fibrillation (VF) by using histogram and average absolute deviation. To begin with, a time-domain method based histogram, was addressed to refine the general features that illustrate the density of amplitude distribution of a window length long ECG signal in successive n...

In the paper, we improve the Local Binary Pattern Histogram (LBPH) approach and combine it with Dual-Tree Complex Wavelet Transform (DT-CWT) to propose a Dual-Tree Complex Wavelet Transform based Local Binary Pattern Weighted Histogram (DT-CWT based LBPWH) method for palmprint representation and recognition. The approximate shift invariant property of the DT-CWT and its good directional selecti...

Problem statement: The purpose of any robotic is to perform tasks that a human would prefer not to do or hopefully do it with precision in order to avoid mistakes or when a human is out of duty due to fatigue or health reasons. The research into human detection into images has paid the way be aware of what is going on around the houses or buildings where a front-line security is needed 24 h a d...

In this paper we present a new method for fast histogram computing. Based on the known tree-representation histogram of a region, also called reference histogram,, we want to compute the one of another region. The idea consists in computing the spatial differences between these two regions and encode it to update the histogram. We never need to store complete histograms, except the reference im...

Abslroa In this paper, we present B new statistical analysis method of phase resolved partial discharge (PD) measurements for the quality assessment o f the electrical insulation in high voltage machinery. The method is based on P supervised classification approach which utilizes histogram similarily analysis. The motivntian for choosing histogram similarily analysis is huofold: F i r s t the p...