This paper presents an effective texture descriptor invariant to translation, scaling, and rotation for texture-based image retrieval applications. In order to find the minimal matching distance between two descriptors, existing frequency-layout descriptors require a lot of distance calculations with every possible combination of scaling and rotation values because they are not invariant to geo...

The 3D Zernike polynomials form an orthonormal basis of the unit ball. associated moments have been successfully applied for shape recognition; they are popular in structural biology comparing protein structures and properties. Many algorithms proposed computing those moments, starting from a voxel-based representation or surface based geometric mesh shape. As order increases, however, suffer d...

Introduction: In recent years, modern microscopic imaging in parallel with digital image processing techniques, have facilitated computerized semen analysis. However, in these methods, distinguishing sperms from other semen particles can be hampered by low contrast of microscopic images and the possibility of neighboring sperms touching each other. Materials and Methods: This article introduced...

This correspondence addresses the problem of rotation, scale, and translation invariant recognition of images. A new set of Manuscript received August 29, 1988; revised October 13, 1989. Recommended for acceptance by C. Y. Suen. This work was supported in part by the Defense Advanced Research Projects Agency under Grant MDAA. Khotanzad is with the Image Processing and Analysis Laboratory, Depar...

New Zernike velocity moments have been developed to describe an object, not only by its shape , but also by its motion throughout an image sequence. These are an extended form of the orthogonal Zernike moment set and include velocity information introduced via centralised moments. Initial analysis shows that they perform well when applied to analysing gait sequences resulting in a good recognit...

1 Research Scholar, 2 Professor Department of Computer Science Avinashilingam University for Women, Coimbatore, Tamil Nadu, India. _____________________________________________________________________________________ Abstract: Classification is the problem of identifying, to which set of categories a new observation belongs, on the basis of a training set whose category membership is known. The...

As forgeries have become popular, the importance of forgery detection is much increased. Copy-move forgery, one of the most commonly used methods, copies a part of the image and pastes it into another part of the the image. In this paper, we propose a detection method of copy-move forgery that localizes duplicated regions using Zernike moments. Since the magnitude of Zernike moments is algebrai...

Current merit functions for 2D/3D registration usually rely on comparing pixels or small regions of images using some sort of statistical measure. Problems connected to this paradigm the sometimes problematic behaviour of the method if noise or artefacts (for instance a guide wire) are present on the projective image. We present a merit function for 2D/3D registration which utilizes the decompo...

The image forgery detection technology based on non sampling wavelet transform coupling with Zernike moments is proposed in this article. Specifically, LL and HH sub-bands are obtained through non sampling wavelet transform to calculate the similarity and the diversity of the image blocks, and then LL similarity and HH diversity are combined for dual judgment. Meanwhile, Zernike moments are int...