in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

one of the most important parameters in evaluating a watermarking algorithm is its capacity. generally, watermarking capacity is expressed by bits per pixel (bpp) unit measure. but this measure does not show what the side effects would be on image quality, watermark robustness and capacity. in this paper we propose a three dimensional measure named capacity surface which shows the effects of ca...

A new method for measuring and designing smooth wavelet basis which dispenses with the need for having a large number of zero moments of the wavelet is given. The method is based on minimizing the “discrete finite variation”, and is a measure of the local “roughness” of a sampled version of the scaling function giving rise to “visually smooth” wavelet basis. Smooth wavelet basis are deemed to b...

We present a novel variational approach to image restoration (e.g., denoising, inpainting, labeling) that enables us to complement established variational approaches with a histogram-based prior, enforcing closeness of the solution to some given empirical measure. By minimizing a single objective function, the approach utilizes simultaneously two quite different sources of information for resto...

The calculation of salient structures is one of the early and basic ideas of perceptual organization in Computer Vision. Saliency algorithms aim to nd image curves, maximizing some deterministic quality measure which grows with the length of the curve, its smoothness, and its continuity. This note proposes a modiied saliency estimation mechanism, which is based on probabilistically speciied gro...

Background: Body image is an integral component of the self-concept that significantly shapes human functioning and people’s life outcomes. Although negative body image is well-studied, there is little research on positive body image. The study examined the basic characteristics of positive body image intending to standardize a scale for it.  Methods: The study used using an exploratory resear...

In this paper we address visual servoing through a xed stereo rig using an image Jacobian. Existing methods are based on the stacking of monocular servo image Jacobians, resulting in largely over-constrained control commands. In this paper we formally show that the epipolar constraint between two images can be taken into account explicitly. We then show that use of stereo signiicantly increases...

This paper presents two multiresolution segmentation-based algorithms for low bit rate image compression using hierarchical data structures. The segmentation is achieved with quadtree and BSP-tree hierarchical data structures and the encoding is performed by using the projection pursuit (matching pursuit) with a finite dictionary of spline functions with various degrees of smoothness. Compariso...

This thesis proposes an improved interactive brain tumor segmentation method based on graph cuts, which is an efficient global optimization framework for image segmentation, and star shape, which is a general segmentation shape prior with minimal user assistance. Our improvements lie in volume ballooning, compactness measure and inclusion constraints. Volume ballooning is incorporated to help t...