This text is designed to provide a comprehensive introduction to the subjects of computer vision and image processing. Adopting a tutorial approach throughout, it covers the whole range of computer vision, concentrating on image processing. Liberally sprinkled throughout with case studies, full-length application examples and exercises, it is ideal for the undergraduate/postgraduate student and the practitioner who needs to discover techniques for implementing computer vision solutions to real world problems. Introductory Computer Vision and Image Processing assumes a familiarity with standard computer terminology, but it does not require the reader to have an in-depth knowledge of such areas as AI, maths and graphics. It is oriented towards the IBM PC throughout.
Sprache
Verlagsort
Verlagsgruppe
McGraw-Hill Education - Europe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Illustrationen
Maße
Höhe: 230 mm
Breite: 185 mm
Gewicht
ISBN-13
978-0-07-707403-6 (9780077074036)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Klassifikation
Introduction. The Image Model. Image Acquisition. Image Presentation. Statistical Operations. Spatial Operations and Transformations. Segmentation and Edge Detection. Morphological and Other Area Operations. Finding Basic Shapes. Labelling Lines and Regions. Reasoning, Facts and Inferences. Pattern Recognition and Training. The Frequency Domain. Applications of Frequency Domain Processing. Image compression. Texture. Other Topics. Applications. Glossary. Bibliography. Acknowledgements.
