Over the past five years, a huge influx of visual data has arisen within the realm of computing. Consequently, it is evident that a means of automatically indexing this visual information on the basis of content is required. This paper discusses a component of an image retrieval system with the ability to automatically locate and classify an image’s constituent shapes. The images employed are p...

A simple scheme is presented for modifying geometric moments to use geodesic distances. This provides a set of global shape descriptors that are invariant to bending as well as rotation, translation and scale.

Abstract. This paper considers the timeand space-dependent linear Boltzmann equation with general boundary conditions in the case of inelastic (granular) collisions. First, in the (angular) cut-off case, mild L1-solutions are constructed as limits of the iterate functions and boundedness of higher velocity moments are discussed in the case of inverse power collisions forces. Then the problem of...

This paper describes the use of histogram modification functions to improve the retrieval efficiency of the content-based image retrieval system based on bins approach. Four different functions explored in this paper used as histogram specification to modify the histograms are; histogram equalization (EQH), polynomial function (POLY), linear equations (LinearEQ1,2,3) and logarithmic function (L...

flood frequency analysis is faced with the problem of data and information limitation in arid and semi-arid regions. particularly in these regions, the length of records is usually too short to ensure reliable quantile estimates. more than 75% of iran is located in arid and semi-arid regions and despite the low annual precipitation, often large floods occur. one way to provide more information ...

Deep B− and R−band CCD images of the central ∼ 700 arcmin of the Coma cluster core have been used to measure the dwarf-galaxy population in Coma. In this paper, we describe a newly developed code for automated detection, photometry and classification of faint objects of arbitrary shape and size on digital images. Intensity-weighted moments are used to compute the positions, radial structures, e...

We present here the results for a comparative study of some techniques, available in the literature, related to the relevance feedback mechanism in the case of a short-term learning. Only one method among those considered here is belonging to the data mining field which is the K-nearest neighbors algorithm (KNN) while the rest of the methods is related purely to the information retrieval field ...

In this paper, we consider a Newtonian system whose relativistic counterpart describes superimposed halo with black hole. Our aim is to determine how the quadrupole and octupole moments affect nature of motion test particle, moving in close vicinity The different types trajectories for particle are mainly classified as bounded, collisional, escaping, by using modern color-coded basin diagrams. ...

We propose a new FPGA system for the high speed extraction, normalization and classification of moment descriptors. Moments are extensively used in computer vision, most recently in the MPEG-7 standard for the region shape descriptor. The computational complexity of such methods has been partially addressed by the proposal of custom hardware architectures for the fast computation of moments. Ho...

Image retrieval based on color, texture and shape is a wide area of research scope. In this paper we present a framework for combining all the three i.e. color, texture and shape information, and achieve higher retrieval efficiency. The image and its complement are partitioned into non-overlapping tiles of equal size. The features drawn from conditional co-occurrence histograms between the imag...