Recently, the concept of \Multiple Classiier Systems" was proposed as a new approach to the development of high performance image classiication systems. Multiple Classiier Systems can be used to improve classiication accuracy by combining the outputs of classiiers making \uncorrelated" errors. Unfortunately, in real image recognition problems, it may be very diicult to design an ensemble of cla...

Recently, the concept of \Multiple Classi er Systems" was proposed as a new approach to the development of high performance image classi cation systems. Multiple Classi er Systems can be used to improve classi cation accuracy by combining the outputs of classi ers making \uncorrelated" errors. Unfortunately, in real image recognition problems, it may be very di cult to design an ensemble of cla...

In this paper, we present an algorithm for feature selection. This algorithm labeled QC-FS: Quantum Clustering for Feature Selection performs the selection in two steps. Partitioning the original features space in order to group similar features is performed using the Quantum Clustering algorithm. Then the selection of a representative for each cluster is carried out. It uses similarity measure...

This work addresses the issue of color feature selection for content-based retrieval from large, heterogeneous color image databases where no assumptions can be made about the images or the type of queries. The color features used to describe an image have been developed based on the need for speed in matching and ease of computation on complex images while maintaining invariance to diierences ...

mutual information (mi) is a widely used similarity metric for multimodality image registration. however, it involves an extremely high computational time especially when it is applied to volume images. moreover, its robustness is affected by existence of local maxima. the multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...

design, simulation and optimal selection of cosine-linear frequency modulation waveform (cnlfm) based on correlated ambiguity function (af) method for the purpose of synthetic aperture radar (sar) is done in this article. the selected optimum cnlfm waveform in contribution with other waveforms are applied directly into a sar image formation algorithm (ifa) and their quality effects performance ...

speech emotion recognition (ser) is a new and challenging research area with a wide range of applications in man-machine interactions. the aim of a ser system is to recognize human emotion by analyzing the acoustics of speech sound. in this study, we propose spectral pattern features (sps) and harmonic energy features (hes) for emotion recognition. these features extracted from the spectrogram ...

Given its importance, the problem of object discovery in High-Resolution Remote-Sensing (HRRS) imagery has been given a lot of attention by image retrieval researchers. Despite the vast amount of expert endeavor spent on this problem, more effort has been expected to discover and utilize hidden semantics of images for image retrieval. To this end, in this paper, we exploit a hyperclique pattern...

This study aims to empirically test a model linking destination image, selection, and local cuisine elements. The also analyzes the mediating effect of image on relationship between elements selection. research data were collected from domestic tourists using survey UNESCO Gastronomy City Hatay Türkiye. All four hypotheses suggested within scope supported. Local significantly influence selectio...

Introduction: The use of digital radiography systems has become more common all around the world. Ideal situation in radiography is to maximize the image quality while minimizing the patient dose. The purpose of this study was to compare image quality and radiation dose in different digital radiography systems. Materials and Methods: Images of Pehamed FLUORAD ...