Morphological Image Analysis

Morphological Image Analysis

Author: Pierre Soille

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 322

ISBN-13: 3662039397

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The book is self-contained in the sense that it is accessible to engineers, scientists, and practitioners having no prior experience with morphology. In addition, most necessary background notions about digital image processing are covered. The emphasis being put on the techniques useful for solving practical problems rather than the theory underlying mathematical morphology, no special knowledge about set theory and topology is required. Nevertheless, the book goes well beyond an introduction to mathematical morphology. Indeed, starting from the fundamental transformations, more elaborate methods which have proven their practical usefulness are explained. This is achieved through a step by step process pursued until the most recent advances.


Hands-on Morphological Image Processing

Hands-on Morphological Image Processing

Author: Edward R. Dougherty

Publisher: SPIE Press

Published: 2003

Total Pages: 294

ISBN-13: 9780819447203

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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 and Its Applications to Image Processing

Mathematical Morphology and Its Applications to Image Processing

Author: Jean Serra

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 391

ISBN-13: 9401110409

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Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form of objects, and it is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc. MM is not only a theory, but also a powerful image analysis technique. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM. The book consists of forty-five contributions classified by subject. It demonstrates a wide range of topics suited to the morphological approach.


An Introduction to Morphological Image Processing

An Introduction to Morphological Image Processing

Author: Edward R. Dougherty

Publisher: SPIE-International Society for Optical Engineering

Published: 1992

Total Pages: 184

ISBN-13:

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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.


Morphological Image Analysis

Morphological Image Analysis

Author: Pierre Soille

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 401

ISBN-13: 3662050889

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From reviews of the first edition: "This is a scholarly tour de force through the world of morphological image analysis [...]. I recommend this book unreservedly as the best one I have encountered on this particular topic [...]" BMVA News


Digital Image Processing using SCILAB

Digital Image Processing using SCILAB

Author: Rohit M. Thanki

Publisher: Springer

Published: 2018-05-07

Total Pages: 168

ISBN-13: 3319895338

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This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.


Mutational and Morphological Analysis

Mutational and Morphological Analysis

Author: Jean-Pierre Aubin

Publisher: Springer Science & Business Media

Published: 1998-12-01

Total Pages: 472

ISBN-13: 9780817639358

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The analysis, processing, evolution, optimization and/or regulation, and control of shapes and images appear naturally in engineering (shape optimization, image processing, visual control), numerical analysis (interval analysis), physics (front propagation), biological morphogenesis, population dynamics (migrations), and dynamic economic theory. These problems are currently studied with tools forged out of differential geometry and functional analysis, thus requiring shapes and images to be smooth. However, shapes and images are basically sets, most often not smooth. J.-P. Aubin thus constructs another vision, where shapes and images are just any compact set. Hence their evolution -- which requires a kind of differential calculus -- must be studied in the metric space of compact subsets. Despite the loss of linearity, one can transfer most of the basic results of differential calculus and differential equations in vector spaces to mutational calculus and mutational equations in any mutational space, including naturally the space of nonempty compact subsets. "Mutational and Morphological Analysis" offers a structure that embraces and integrates the various approaches, including shape optimization and mathematical morphology. Scientists and graduate students will find here other powerful mathematical tools for studying problems dealing with shapes and images arising in so many fields.


Introduction to Video and Image Processing

Introduction to Video and Image Processing

Author: Thomas B. Moeslund

Publisher: Springer Science & Business Media

Published: 2012-01-23

Total Pages: 228

ISBN-13: 1447125029

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This textbook presents the fundamental concepts and methods for understanding and working with images and video in an unique, easy-to-read style which ensures the material is accessible to a wide audience. Exploring more than just the basics of image processing, the text provides a specific focus on the practical design and implementation of real systems for processing video data. Features: includes more than 100 exercises, as well as C-code snippets of the key algorithms; covers topics on image acquisition, color images, point processing, neighborhood processing, morphology, BLOB analysis, segmentation in video, tracking, geometric transformation, and visual effects; requires only a minimal understanding of mathematics; presents two chapters dedicated to applications; provides a guide to defining suitable values for parameters in video and image processing systems, and to conversion between the RGB color representation and the HIS, HSV and YUV/YCbCr color representations.


Digital Image Processing

Digital Image Processing

Author: D. Sundararajan

Publisher: Springer

Published: 2017-10-12

Total Pages: 475

ISBN-13: 9811061130

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This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.