Effective composition in visual arts relies on the principle of movement, where the viewer’s eye is directed along subjective curves to a center of interest. We call these curves subjective because they may span the edges and/or center-lines of multiple objects, as well as contain missing portions which are automatically filled by our visual system. By carefully coordinating the shape of object...

A common basis is suggested for the optical flow estimation approaches of Nagel (1983), Haralick and Lee (1983) and Tretiak and Pastor (1984). Based on a discussion of these approaches, an exact solution for the system of partial differential equations proposed by Horn and Schunck (1981) is given at gray value corners and extrema. The insight gained by this solution results in a modification of...

In this paper, we present a new method for the segmentation of moving objects. We use one of the most powerful variational method for computing the optical flow and we exploit this information in the segmentation. This segmentation lies on well-known techniques of active contours. Since we can distinguish moving objects from static elements of a scene by analyzing norm of the optical flow vecto...

This paper presents a new dynamic classifier selection approach for hyperspectral image classification, in which both spatial and spectral information are used to determine a pixel’s label once the remaining classified pixels’ neighborhood meets the threshold. For volumetric texture feature extraction, a volumetric gray level co-occurrence matrix is used; for spectral feature extraction, a mini...

Introduction: Advanced quantitative information such as radiomics features derived from magnetic resonance (MR) image may be useful for outcome prediction, prognostic models or response biomarkers in Glioblastoma (GBM). The main aim of this study was to evaluate MRI radiomics features for recurrence prediction in glioblastoma multiform.   Materials and Methods:</str...

– Square or rectangular subimage area centered at (x, y) (Figure 3.1) ∗ Typically, the neighborhood is much smaller than the image – Center moves over each pixel in the image – T is applied at each point to get g at that location ∗ Compute the average intensity of the neighborhood – Also possible to have neighborhood approximations in the form of a circle – The above application is also called ...

conclusions test-retest and correlation analyses have identified non-redundant radiomics features and this feature are prone to errors if they employed as quantitative biomarker for gbm image analysis. however when we use robust and redundant feature, quantitative image radiomics features are informative and prognostic biomarkers for gbm magnetic resonance imaging. results results shows that th...

in this article, a new method for fusion of high resolution optical and radar data for higher quality road extraction is presented. the proposed methodology consists of two stages of separate road detection from each data and knowledge based fusion of results. neural networks are separately applied on high resolution ikonos and terrasar-x images for road detection, using a variety of texture pa...

This chapter presents a technique for estimating the three-dimensional displacement vector field that describes the motion of each visible scene point. This displacement field consists of the change in image position, also known as optical flow, and the change in disparity and is called the scene flow. The technique presented uses two consecutive image pairs from a stereo sequence. The main con...