Entropy In Image Analysis
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Entropy in Image Analysis
Image analysis is a fundamental task for extracting information from images acquired across a range of different devices. Since reliable quantitative results are requested, image analysis requires highly sophisticated numerical and analytical methods—particularly for applications in medicine, security, and remote sensing, where the results of the processing may consist of vitally important data. The contributions to this book provide a good overview of the most important demands and solutions concerning this research area. In particular, the reader will find image analysis applied for feature extraction, encryption and decryption of data, color segmentation, and in the support new technologies. In all the contributions, entropy plays a pivotal role.
Progress in Pattern Recognition, Image Analysis and Applications
Author: José Francisco Martínez-Trinidad
language: en
Publisher: Springer Science & Business Media
Release Date: 2006-10-12
This book constitutes the refereed proceedings of the 11th Iberoamerican Congress on Pattern Recognition, CIARP 2006, held in Cancun, Mexico in November 2006. The 99 revised full papers presented together with three keynote articles were carefully reviewed and selected from 239 submissions. The papers cover ongoing research and mathematical methods.
Image Analysis
This book constitutes the refereed proceedings of the 15th Scandinavian Conference on Image Analysis, SCIA 2007, held in Aalborg, Denmark in June 2007. It covers computer vision, 2D and 3D reconstruction, classification and segmentation, medical and biological applications, appearance and shape modeling, face detection, tracking and recognition, motion analysis, feature extraction and object recognition.