Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...

We implemented several maximum-flow algorithms, and applied them for segmentation of a degraded binary image. The purpose of the segmentation is to track the position of the hand in camera images for gestural interaction. The segmentation is based on the maximum a posteriori estimation which can be reformulated as a network flow problem. We compare the running time of the different algorithms w...

Data is presented from virtual environment (VE) navigation studies that used buildingand chessboard-type layouts. Participants learned by repeated navigation, spending several hours in each environment. While some participants quickly learned to navigate efficiently, others remained almost totally disoriented. In the virtual buildings this disorientation was illustrated by mean direction estima...

Data is presented from virtual environment (VE) navigation studies that used buildingand chessboard-type layouts. Participants learned by repeated navigation, spending several hours in each environment. While some participants quickly learned to navigate efficiently, others remained almost totally disoriented. In the virtual buildings this disorientation was illustrated by mean direction estima...

This thesis investigates the role of optimization in two areas of Computer Science: Computer Vision and Machine Learning. Specifically, we consider two well-known problems in Computer Vision, namely motion segmentation and object category specific image segmentation, and a fundamental problem in Machine Learning, known as maximum a posteriori (map) estimation of discrete probabilistic models. I...

Automatic processing of three-dimensional image data acquired with computed tomography or magnetic resonance imaging plays an increasingly important role in medicine. For example, the automatic segmentation of anatomical structures in tomographic images allows to generate three-dimensional visualizations of a patient’s anatomy and thereby supports surgeons during planning of various kinds of su...

In the current scenario focal point is on the development of CAD (Computer Aided Diagnosis) for dermoscopic images. In this paper, different kinds of segmentation algorithms are analyzed for automatic segmentation of skin lesions in dermoscopic images being evaluated. Among the implemented segmentation algorithms, border detection algorithm has achieved a better performance, when compared to ot...

Interactive image segmentation deals with partitioning an image into multiple pairwisedisjoint regions based on input provided by a human operator. Being interactive means, that an algorithm has to quickly react on user input, which limits the computational complexity of the employed algorithms drastically. Therefore, many interactive segmentation methods represent these regions with simple mod...