Fundamentals of three-dimensional digital image processing / (Record no. 1820)

MARC details
000 -LEADER
fixed length control field 06535cam a22002057a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781848001725 (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 184800172X (hbk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781848001732 (ebk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1848001738 (ebk.)
040 ## - CATALOGING SOURCE
Transcribing agency CUS
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 004
Item number TOR/F
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Toriwaki, Junichiro.
245 10 - TITLE STATEMENT
Title Fundamentals of three-dimensional digital image processing /
Statement of responsibility, etc. Junichiro Toriwaki, Hiroyuki Yoshida.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Dordrecht ;
-- London ;
-- New York :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. 2009.
300 ## - PHYSICAL DESCRIPTION
Extent xv, 269 p. :
Dimensions 25 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note INTRODUCTION<br/>1.1<br/>1.1.1 3D continuous images<br/>1.1.2 3D digitalimages.<br/>1.2 What does "3D image" mean?<br/>1.2.1 Dimensionality of the media and of the subject<br/>1.2.2 Types of 3D images..<br/>1.2.3 Cues for 3D information<br/>1.2.4 Specific examples of 3D images.<br/>1.3 Types and characteristics of 3D image processing .<br/>1.3.1 Examples of 3D image processing<br/>1.3.2 Virtual spaces as 3D digital images<br/>1.3.3 Characteristics of 3D image processing<br/>1.3.4 Objectives in 3D image processing<br/>1.4 The contents of this book..<br/>MODELS OF IMAGES AND IMAGE OPERATIONS<br/>2.1 Introduction<br/>2.2 Continuous and digitized images<br/>2.2.1 Continuous images<br/>2.2.2 Digitized images ..<br/>2.2.3 Three-dimensional images<br/>2.2.4 3D line figures and digitization<br/>2.2.5 Cross section and projection<br/>2.2.6 Relationships among images<br/>2.3 Model of image operations<br/>2.3.1 Formulation of image operations<br/>2.3.2 Relations between image operators<br/>2.3.3 Binary operators between images<br/>2.3.4 Composition of image operations<br/>2.3.5 Basic operators<br/>2.4 Algorithm of image operations<br/>2.4.1 General form of image operations<br/>2.4.2 Important types of algorithms<br/>LOCAL PROCESSING OF 3D IMAGES<br/>3.1 Classification of local operations.<br/>3.1.1 General form<br/>3.1.2 Classification by functions of filters<br/>3.1.3 Classification by the form of a local function<br/>3.2 Smoothing filter<br/>3.2.1 Linear smoothing filter<br/>3.2.2 Median filter and order statistics filter<br/>3.2.3 Edge-preserving smoothing<br/>3.2.4 Morphology filter<br/>3.3 Difference filter<br/>3.3.1 Significance<br/>3.3.2 Differentials in continuous space<br/>3.3.3 Derivatives in digitized space<br/>3.3.4 Basic characteristics of difference filter<br/>3.3.5 Omnidirectionalization .<br/>3.3.6 ID difference filters and their combinations<br/>3.3.7 3D Laplacian ,<br/>3.3.8 2D difference filters and their combination .<br/>3.4 Differential features of a curved surface.<br/>3.5 Region growing (region merging)<br/>3.5.1 Outline<br/>3.5.2 Region expansion.<br/>GEOMETRICAL PROPERTIES OF 3D DIGITIZED<br/>IMAGES<br/>4.1 Neighborhood and connectivity<br/>4.1.1 Neighborhood,<br/>4.1.2 Connectivity and connected component<br/>4.2 Simplex and simplicial decomposition<br/>4.3 Euler numbei<br/>4.4 Local feature of a connected component and topology of a<br/>figure<br/>4.5 Local patterns and their characterization ,<br/>4.5.1 2x2x2 local patterns.<br/>4.5.2 3x3x3 local patterns.<br/>4.5.3 Classification of the voxel state<br/>4.5.4 Voxel state and connectivity inuex<br/>4.6 Calculation of connectivity index and connectivity numoer<br/>4.6.1 Basic ideas<br/>4.6.2 Calculation of the connectivity index<br/>4.6.3 Calculation of the connectivity number<br/>4.7 Calculation of the Euler number<br/>4.7.1 Triangulation method<br/>4.7.2 Simplex counting method<br/>4.8 Algorithm of deletability test<br/>4.9 Path and distance functions<br/>4.9.1 Path<br/>4.9.2 Distance function<br/>4.9.3 Distance function in applications<br/>4.9.4 Improvement in distance metric<br/>4.10 Border surface<br/>ALGORITHM OF BINARY IMAGE PROCESSING<br/>5.1 Introduction<br/>5.2 Labeling of a connected component<br/>5.3 Shrinking.<br/>5.4 Surface thinning and axis thinning<br/>5.4.1 Definition<br/>5.4.2 Requirements of thinning<br/>5.4.3 Realization - the sequential type<br/>5.4.4 Examples of surface/axis thinning algorithms<br/>(sequential type,<br/>5.4.5 Surface thinning algorithm accompanying the<br/>Euclidean distance transformation<br/>5 4 6 Use of a ID list for auxiliary information<br/>5.4.7 Examples of surface/axis thinning algorithm (parallel<br/>type)<br/>5.4.8 Experimental results<br/>5.4.9 Points in algorithm construction<br/>5.5 Distance transformation and skeleton<br/>5.5.1 Definition . , , ^<br/>5 5.2 Significance of DT and skeleton<br/>^ W Classification of algorithms<br/>5 5 4 Example of an algorithm - (1) squared Euclidean DT<br/>5 5^5 Example of algorithms - (2) variable neighborhood<br/>DT (parallel type)<br/>5.5.6 Supplementary comments on algorithms of DT<br/>5.5.7 Skeleton.<br/>5 5 8 Reverse distance transformation<br/>5 5 9 Example of RDT algorithms - (1) Euclidean squared<br/>RDT<br/>c: t: in Fvamnle of RDT algorithm - (2) fixed neighborhood<br/>5 5.11 (E6x-t r1a8c-t,i oonr o2f6 -snkeeilgethobno.rhood) RDT (sequential type) .<br/>5I12 Distance transformation of a line figure<br/>5.6 Border surface following<br/>5.6.1 Outline<br/>5.6.2 Examples of algorithm<br/>5.6.3 Restoration of a figure<br/>5.7 Knot and link<br/>5.7.1 Outline<br/>5.7.2 Reduction of a digital knot<br/>5.8 Voronoi division of a digitized image<br/>6 ALGORITHMS FOR PROCESSING CONNECTED<br/>COMPONENTS WITH GRAY VALUES<br/>6.1 Distance transformation of a gray-tone image<br/>6.1.1 Definition<br/>6.1.2 An example of algorithm<br/>6.2 Thinning of a gray-tone image<br/>6.2.1 Basic idea<br/>6.2.2 Requirements<br/>6.2.3 Principles of thinning<br/>6.3 Examples of algorithms - (1) integration of information<br/>concerning density values<br/>6.3.1 Algorithm<br/>6.3.2 Experimental results<br/>6.4 Examples of algorithms - (2) ridgeline following<br/>6.4.1 Meanings of a ridgeline<br/>6.4.2 Algorithm<br/>6.4.3 Experiments .<br/>7 VISUALIZATION OF 3D GRAY-TONE IMAGES<br/>7.1 Formulation of visualization problem.<br/>7.2 Voxel data and the polygon model.<br/>7.2.1 Voxel surface representation<br/>7.2.2 Marching cubes algorithm ..<br/>7.3 Cross section, surface, and projection<br/>7.3.1 Cross section<br/>7.3.2 Surface<br/>7.3.3 Projection<br/>7.4 The concept of visualization based on ray casting - (1)<br/>projection of a point<br/>7.4.1 Displaying a point<br/>7.4.2 Displaying lines<br/>7.4.3 Displaying surfaces<br/>7.5 The concept of visualization based on ray casting - (2)<br/>manipulation of density values<br/>7.6 Rendering surfaces based on ray casting - surface rendering<br/>7.6.1 Calculation of the brightness of a surface<br/>7.6.2 Smooth shading<br/>7.6.3 Depth coding<br/>7.6.4 Ray tracing<br/>7.7 Photorealistic rendering and rendering for visualizatior<br/>7.8 Displaying density values based on ray casting - volume<br/>rendering<br/>7.8.1 The algorithm of volume rendering<br/>7.8.2 Selection of parameters<br/>7.8.3 Front-to-back algorithm<br/>7.8.4 Properties of volume rendering and surface rendering<br/>7.8.5 Gradient shading
650 #0 - SUBJECT
Keyword Three-dimensional imaging.
650 #0 - SUBJECT
Keyword Image processing
General subdivision Digital techniques.
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Koha item type General Books
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        Central Library, Sikkim University Central Library, Sikkim University General Book Section 01/06/2016 004 P31296 14/07/2018 14/07/2018 General Books
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