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An Introduction to Morphological Image Processing
Binary erosion and dilation. Binary opening and closing. Morphological processing of binary images. Hit-or-miss transform. Granulometries. Gray-scale morphology. Gray-scale morphological algorithms.
Probabilistic Boolean Networks
The first comprehensive treatment of probabilistic Boolean networks, unifying different strands of current research and addressing emerging issues.
Genomic Signal Processing and Statistics
Recent advances in genomic studies have stimulated synergetic research and development in many cross-disciplinary areas. Processing the vast genomic data, especially the recent large-scale microarray gene expression data, to reveal the complex biological functionality, represents enormous challenges to signal processing and statistics. This perspective naturally leads to a new field, genomic signal processing (GSP), which studies the processing of genomic signals by integrating the theory of signal processing and statistics. Written by an international, interdisciplinary team of authors, this invaluable edited volume is accessible to students just entering this emergent field, and to researc...
Genomic Signal Processing
Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validi...
Hands-on Morphological Image Processing
Morphological image processing, a standard part of the imaging scientist's toolbox, can be applied to a wide range of industrial applications. Concentrating on applications, this text shows how to analyse the problems and then develop successful algorithms to solve them.
Mathematical Morphology in Image Processing
Presents the statistical analysis of morphological filters and their automatic optical design, the development of morphological features for image signatures, and the design of efficient morphological algorithms. Extends the morphological paradigm to include other branches of science and mathematics.;This book is designed to be of interest to optical, electrical and electronics, and electro-optic engineers, including image processing, signal processing, machine vision, and computer vision engineers, applied mathematicians, image analysts and scientists and graduate-level students in image processing and mathematical morphology courses.
The Evolution of Scientific Knowledge
Why epistemology? -- Pre-Galilean science -- The birth of modern science -- Reflections on the new science -- A mathematical-observational duality -- Complex systems: a new epistemological crisis -- Translational science under uncertainty
Digital Image Processing Methods
This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.
Introduction to Infrared System Design
This tutorial text focuses on the optics and detector aspects of infrared system design. It introduces the terminology, processes, and instrument design techniques available. Design examples are based on real problems investigated by the author.
