Digital Image Processing Algorithms

Pitas, Ioannis

ISBN 10: 0131458140 / ISBN 13: 9780131458147

Edité par Prentice-Hall, 1993

A propos de cet article

Zustand: Sehr gut | Seiten: 373 | Sprache: Englisch | Produktart: Bücher.

N° de réf. du vendeur 37896465/202

Détails bibliographiques

• Titre: Digital Image Processing Algorithms
• Éditeur: Prentice-Hall
• Date de parution: 1993
• Langue: anglais
• ISBN à 10 chiffres: 0131458140
• ISBN à 13 chiffres: 9780131458147
• Reliure: Couverture souple
• État de l'article: Sehr gut
• Catalogues du vendeur:
  • Bücher

A propos de ce titre

Synopsis

Provides an overview of various digital image processing algorithms in C code. The book covers such topics as: digital image transforms; image filtering; digital image compression; edge detection; region segmentation; and shape analysis. It aims to provide a programming tool for students, engineers and scientists working in the field of digital image processing and computer vision. Aimed at an advanced level, it requires basic knowledge of digital image processing and C programming skills. A demo disk accompanies the book - the complete version of which is available from Alpha-tec.

Présentation de l'éditeur

A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology

With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community.

The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C–code) over the Internet makes the book an invaluable self–study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.