Alles über E-Books | Antworten auf Fragen rund um E-Books, Kopierschutz und Dateiformate finden Sie in unserem Info- & Hilfebereich.
Computer Vision and Image Processing contains review papers from the Computer Vision, Graphics, and Image Processing volume covering a large variety of vision-related topics. Organized into five parts encompassing 26 chapters, the book covers topics on image-level operations and architectures; image representation and recognition; and three-dimensional imaging. The introductory part of this book is concerned with the end-to-end performance of image gathering and processing for high-resolution edge detection. It proposes methods using mathematical morphology to provide a complete edge detection process that may be used with any slope approximating operator. This part also discusses the automatic control of low-level robot vision, presents an image partitioning method suited for parallel implementation, and describes invariant architectures for low-level vision. The subsequent two sections present significant topics on image representation and recognition. Topics covered include the use of the primitives chain code; the geometric properties of the generalized cone; efficient rendering and structural-statistical character recognition algorithms; multi-level thresholding for image segmentation; knowledge-based object recognition system; and shape decomposition method based on perceptual structure. The fourth part describes a rule-based expert system for recovering three-dimensional shape and orientation. A procedure of intensity-guided range sensing to gain insights on the concept of cooperative-and-iterative strategy is also presented in this part. The concluding part contains supplementary texts on texture segmentation using topographic labels and an improved algorithm for labeling connected components in a binary image. Additional algorithms for three-dimensional motion parameter determination and surface tracking in three-dimensional binary images are also provided.
Language
Place of publication
Publishing group
Elsevier Science & Techn.
ISBN-13
978-0-323-14156-7 (9780323141567)
Schweitzer Classification
ForewordContributorsImage-Level Operations and Architectures Image Gathering and Processing for High-Resolution Edge Detection On the Use of Morphological Operators in a Class of Edge Detectors A Valley-Seeking Threshold Selection Technique Local Characteristics of Binary Images and Their Application to the Automatic Control of Low-level Robot Vision Corner Detection and Localization in a Pyramid Parallel-Hierarchical Image Partitioning and Region Extraction Invariant Architectures for Low-Level VisionRepresentation Primitives Chain Code Generalized Cones: Useful Geometric Properties Vision-Based Rendering: Image Synthesis for Vision Feature ExtractionRecognition Investigation of a Number of Character Recognition Algorithms Log-Polar Mapping Applied to Pattern Representation and Recognition Pattern Recognition of Binary Image Objects Using Morphological Shape Decomposition A Pattern Classification Approach to Multilevel Thresholding for Image Segmentation KOR: A Knowledge-Based Object Recognition System Shape Decomposition Based on Perceptual StructureThree Dimensional The Frobenius Metric in Image Registration Binocular Fusion Revisited Utilizing a Log-Polar Tessellation An Expert System for Recovering 3D Shape and Orientation from a Single View Integrating Intensity and Range Sensing to Construct 3-D Polyhedra RepresentationsNotes Texture Segmentation Using Topographic Labels An Improved Algorithm for Labeling Connected Components in a Binary Image A Note on the Paper "The Visual Potential: One Convex Polygon" A String Descriptor for Matching Partial Shapes Formulation and Error Analysis for a Generalized Image Point Correspondence Algorithm A New Surface Tracking System in 3D Binary Images