In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm performs stochastic approximation. Convergence of the Voronoi vectors is guaranteed under the appropriate conditions on the underlying statistics of the classification problem. We also present a modification to the lea...

A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assignments. The nonparametric nature of this model is implemented by a Dirichlet process prior to control the number of clusters. The resulting posterior can be sampled by a modification of a conjugate-case sampling algo...

Differential Evolution (DE) algorithm represent an adaptive search process for solving engineering and machine learning optimization problems. This paper presents an attempt to demonstrate its adaptability and effectiveness for searching global optimal solutions to enhance the contrast and detail in a gray scale image. In this paper contrast enhancement of an image is performed by gray level mo...

Data hiding technique aims to embed a little secret information into a carrier signal by changing. The insignificant accessories for copyright protection or covert communication. Commonly circumstances, the data-hiding operation will influence in distortion signal. However, such distortion, unacceptable to a few purposes, e.G., army or scientific pix. On this case it's vital to embed the furthe...

We propose a technique to modify colors in photographic images predicting the color appearance of objects in an image under different illuminations. Using the dichromatic surface reflectance model, we estimate the illumination spectrum and the spectrum of the diffuse surface reflectance via the color histogram and subspace analyses. With this estimated spectral information, and the spectrum of ...

In this work, the effect of an image enhancement processing stage and the parameter tuning of a computer-aided detection (CAD) system for the detection of microcalcifications in mammograms is assessed. Five (5) image enhancement algorithms were tested introducing the contrast-limited adaptive histogram equalization (CLAHE), the local range modification (LRM) and the redundant discrete wavelet (...

Biocomputing, especially DNA, computing has got great development. It is widely used in information security. In this paper, a novel algorithm of reversible data hiding based on DNA computing is proposed. Inspired by the algorithm of histogram modification, which is a classical algorithm for reversible data hiding, we combine it with DNA computing to realize this algorithm based on biological t...

The empirical density function, a simple modification and improvement of the usual histogram, is defined and its properties are studied. An analysis is presented which enables the interval width to be chosen. The estimators are modified for the important practical case of bounded random variables. Finally, the problems of writing a programme to compute the functions are considered along with so...

We address the problem of entropy estimation for high-dimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity criteria for multimodal image registration. The basis of our method is an estimator based on k-th nearest neighbor (NN) distances, modified so that only distances greater than some constant R are evaluated. This modification re...

Steganalysis detects the possible existence of secret messages embedding in a suspicious media. In general, secret data hiding techniques take the advantage of the weakness of human senses to embed secret messages into a common media and transmit them to the receivers. Because the change of the cover media is insensible to human visual systems, the cover channel is hidden. Therefore, data hidin...