In this paper problem of edge detection in digital images is considered. Particular attention is paid to brain magnetic resonance images. The new approach to edge detection is introduced. Results of proposed method are presented and compared with traditional approach. In this work, a new contour detection method is studied for detecting brain tumor regions based on their gradient magnitude info...

An oscillatory network of columnar architecture located in 3D spatial lattice was recently designed by the authors as oscillatory model of the brain visual cortex. Single network oscillator is a relaxational neural oscillator with internal dynamics tunable by visual image characteristics - local brightness and elementary bar orientation. It is able to demonstrate either activity state (stable u...

Motion transparency phenomena in image sequences are frequent, but classical methods of motion estimation are unable to deal with them. This paper describes a method for estimating optical flow by a generalization of the brightness constancy assumption to additive transparencies. The brightness constancy assumption is obtained by setting constant velocity fields during three images of a sequenc...

A theory of early motion processing in the human and primate visual system is presented which is based on the idea that spatio-temporal retinal image data is represented in primary visual cortex by a truncated 3D Taylor expansion that we refer to as a jet vector. This representation allows all the concepts of differential geometry to be applied to the analysis of visual information processing. ...

This article describes an algorithm for defining the precise, objective, repeatable and unambiguous segmentation of cells in images of the corneal endothelium. This issue is important for clinical purposes, because the quality of the grid cells is assessed on the basis of segmentation. Other solutions, including commercial software, do not always mark cell boundaries along lines of lowest brigh...

Abstract: A recently proposed fast image alignment algorithm is the inverse compositional algorithm based on LucasKanade. In this paper, we present an overview of different brightness and gradient constraints used with the inverse compositional algorithm. We also propose an efficient and robust data constraint for the estimation of global motion from image sequences. The constraint combines bri...

Recently more and more researches work on reproducing real-world appearance images through LDR images using inverse tone mapping methods. Therefore, evaluation metrics to qualify the performance of inverse tone mapping operators (iTMO) are needed to understand the effect of important features such as nonlinearity. Most metric requires a reference ground truth to compare with the resulting HDR i...

‹ Retinex Algorithm – Process of estimating the per-pixel gains necessary to achieve dynamic range compression in the original image ‹ Extension – Suppress artifacts – Reduce the number of iterations Abstract 4 / 29 ‹ High Dynamic Range – More accurate rendition of the original image – Realistically converted to a low resolution ‹ Retinex theory – Illuminant estimation, gamut mapping and HDR im...