| Titre : | Digital Image Processing : An Algorithmic Approach With MATLAB | | Type de document : | texte imprimé | | Auteurs : | Uvais Qidwai, Auteur ; C. H. Chen, Auteur | | Editeur : | Boca Raton; London; New York : CRC Press/Taylor & Françis Group | | Année de publication : | 2010 | | Collection : | Chapman & Hall/CRC Textbooks in Computing | | Importance : | 286 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 24,1 cm. | | ISBN/ISSN/EAN : | 978-1-420-07950-0 | | Langues : | Anglais (eng) | | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | Eschewing heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website. | | Note de contenu : | Table of contents
Chapter 1 Introduction to Image Processing and the MATLAB Environment: what is an image; why image for MATLAB processing
Chapter 2 Image Acquisition, Types, and File I/O.
Chapter 3 Image Arithmetic.
Chapter 4 Affine and Logical Operations, Distortions, and Noise in Images.
Chapter 5 Image Transforms.
Chapter 6 Spatial and Frequency Domain Filter Design.
Chapter 7 Image Restoration and Blind Deconvolution.
Chapter 8 Image Compression.
Chapter 9 Edge Detection.
Chapter 10 Binary Image Processing.
Chapter 11 Image Encryption and Watermarking.
Chapter 12 Image Classification and Segmentation.
Chapter 13 Image-Based Object Tracking.
Chapter 14 Face Recognition.
Chapter 15 Soft Computing in Image Processing.
-Index. |
Digital Image Processing : An Algorithmic Approach With MATLAB [texte imprimé] / Uvais Qidwai, Auteur ; C. H. Chen, Auteur . - Boca Raton; London; New York : CRC Press/Taylor & Françis Group, 2010 . - 286 p. : couv. ill. en coul., ill. ; 24,1 cm.. - ( Chapman & Hall/CRC Textbooks in Computing) . ISBN : 978-1-420-07950-0 Langues : Anglais ( eng) | Index. décimale : | 25-05 Application du traitement numérique du signal | | Résumé : | Eschewing heavy mathematics and lengthy programming details, Digital Image Processing: An Algorithmic Approach with MATLAB® presents an easy methodology for learning the fundamentals of image processing. The book applies the algorithms using MATLAB®, without bogging down students with syntactical and debugging issues.
One chapter can typically be completed per week, with each chapter divided into three sections. The first section presents theoretical topics in a very simple and basic style with generic language and mathematics. The second section explains the theoretical concepts using flowcharts to streamline the concepts and to form a foundation for students to code in any programming language. The final section supplies MATLAB codes for reproducing the figures presented in the chapter. Programming-based exercises at the end of each chapter facilitate the learning of underlying concepts through practice.
This textbook equips undergraduate students in computer engineering and science with an essential understanding of digital image processing. It will also help them comprehend more advanced topics and sophisticated mathematical material in later courses. A color insert is included in the text while various instructor resources are available on the author’s website. | | Note de contenu : | Table of contents
Chapter 1 Introduction to Image Processing and the MATLAB Environment: what is an image; why image for MATLAB processing
Chapter 2 Image Acquisition, Types, and File I/O.
Chapter 3 Image Arithmetic.
Chapter 4 Affine and Logical Operations, Distortions, and Noise in Images.
Chapter 5 Image Transforms.
Chapter 6 Spatial and Frequency Domain Filter Design.
Chapter 7 Image Restoration and Blind Deconvolution.
Chapter 8 Image Compression.
Chapter 9 Edge Detection.
Chapter 10 Binary Image Processing.
Chapter 11 Image Encryption and Watermarking.
Chapter 12 Image Classification and Segmentation.
Chapter 13 Image-Based Object Tracking.
Chapter 14 Face Recognition.
Chapter 15 Soft Computing in Image Processing.
-Index. |
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