Titlebook: New Approaches in Intelligent Image Analysis; Techniques, Methodol Roumen Kountchev,Kazumi Nakamatsu Book 2016 Springer International Publi

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Petia Koprinkova-Hristovaill also bene?t graduate students, both in statistics and subject areas who must deal with the analysis of environmental ?elds. In fact we have given a successful statistics graduate course based on it. The boo978-1-4419-2086-7978-0-387-35429-3Series ISSN 0172-7397 Series E-ISSN 2197-568X

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Intelligent Digital Signal Processing and Feature Extraction Methods,ity, especially with recent advances in artificial intelligence, improving existing processing methods and providing robust and scalable solutions to existing and new problems. This chapter builds on well-known signal processing techniques, such as the short-time Fourier and wavelet transform, and i

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An Evolutionary Optimization Control System for Remote Sensing Image Processing,nd global biophysical monitoring. Due to distortions caused by variations in signal/image capture and environmental changes, there is not a definite model for image processing tasks in remote sensing and such tasks are traditionally approached on a case-by-case basis. Intelligent control, however, c

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,Tissue Segmentation Methods Using 2D Histogram Matching in a Sequence of MR Brain Images,ion methods do not consider them. We address this issue by proposing a method for tissue segmentation using 2D histogram matching (TS-2DHM). Our 2D histogram is produced from a sum of co-occurrence matrices of each MR image. Two types of model 2D histograms are constructed: an intra-tissue 2D histog

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Audio Visual Attention Models in the Mobile Robots Navigation,sual information to perform suitable mobile robots navigation tasks, modeling the human audio visual perception. The results from the audio and visual perception algorithms are widely used, separate or in conjunction (audio visual perception) in the mobile robots navigation, for example to control m