Titlebook: Image Processing & Communications Challenges 6; Ryszard S. Choraś Conference proceedings 2015 Springer International Publishing Switzerlan

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Application of Super-Resolution Algorithms for the Navigation of Autonomous Mobile Robotsgher resolution images from low resolution image sequences, the accuracy of such edge and corner detections may be improved by the application of super-resolution algorithms. In order to verify the usefulness of such approach some experiments have been conducted based on the processing of the captur

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2194-5357 of image processing, computer vision is also presented. Part II deals with the telecommunications networks and computer networks. Applications in these areas are considered..978-3-319-10661-8978-3-319-10662-5Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Evaluating the Mutual Position of Objects on the Visual Scene Using Morphological Processing and Reac dilation. With additional features describing each object it creates scene description matrix, the structure containing all knowledge of image. Afterward matrix can easily be transformed into Prolog predicates which leads to the inference about scene and possibility of making semi-natural queries

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Vascular Biometryproposes a method of human biometric identification based on human body organs vasculature. The blood vessels of several part of body have a unique pattern. Feature vectors based on linear patterns such as blood vessel are suitable to identification of an individual. This paper focused on detecting

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Clustering-Based Retrieval of Similar Outfits Based on Clothes Visual Characteristicscomes an important topic of research. The paper deals with searching for similar outfits in the clothing images database, using information extracted from unconstrained images containing human silhouettes. Medoids-based clustering is introduced in order to detect groups of similar outfits and speed

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Improving Shape Retrieval and Classification Rates through Low-Dimensional Features Fusiongnition accuracy or retrieval rate, they suffer from one serious limitation, namely, they do not take into account the dimensionality of feature space, hence the computational costs of similarity evaluation is rather high. The problem occurs often in the hardware implementations, where the complexit

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