文件名称:
Mathematics of Digital Images - Creation, Compression, Restoration, Recognition; S. G. Hoggar (Cambridge, 2006) 数字图像相关数学
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文件大小: 8mb
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上传时间: 2010-03-24
详细说明： Mathematics of Digital Images - Creation, Compression, Restoration, Recognition; by S. G. Hoggar (Cambridge, 2006) Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components is here explained in a textbook that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some text on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon’s Information Theory, compression, filtering and tomography. The book will be suited for course use or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing, and information theory and its applications. ...展开收缩
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