VisualC + + digital image pattern recognition Detailed - typical case (with CD-ROM)(Chinese Edition) - Tapa blanda

VisualC + + digital image pattern recognition Detailed typical case (with CD-ROM)(Chinese Edition)

paperback. Condición: New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date :2012-07-01 Pages: 547 Publisher: the basic information title of Machinery Industry Press book edge kc11.21: Visual C + + digital image pattern recognition typical case Xiangjie (with CD-ROM) List Price: 79.00 yuan Author: Fung Wai Hing Publisher: China Machine Press Publication Date: July 1. 2012 ISBN: 9787111389194 words: Pages: 547 Edition: 1st Edition Binding: Paperback: Weight: 962 g Editor's Choice Visual C + + digital image pattern recognition typical Case Detailed informative. clear structure. clear diagrams to explain the thorough. rich and practical case. allows the reader to quickly and comprehensively grasp the variety of applications of digital image pattern recognition technology. It not only as a the universities digital image pattern recognition related disciplines textbooks. but also can be used as engineering and technical personnel and readers self-study reference books. Summary Visual C + + digital image pattern recognition typical case Detailed Detailed digital image pattern recognition typical case. the book is divided into three 14 chapters. the first chapter introduces the basics of digital image pattern recognition Classical methods; second sub-10 chapter describes the case of a typical digital image pattern recognition: from different angles and then the third comprehensive system introduced two digital image pattern recognition case design idea and its realization process. Visual C + + digital image pattern recognition typical case Detailed to break the traditional programming books explain. programming ideas and programming process with the attached code organic combination of hierarchical sub-modules to be to explain. Graphically explain the program to run the process and results. and with the appropriate text instructions. so that the reader quickly understand about the content. Of Contents Preface Chapter 1 of the Basics digital image pattern recognition 1.1 Digital Image Processing Overview 1.1.1 digital image acquisition 1.1.2 image display and storage 1.1.3 digital image files 1.1.4 Digital Image Processing 1.2 Pattern Recognition basic concepts 1.2 the composed 1.2.4 1.2.2 .1 mode and the concept of pattern recognition mode space. feature space and class space 1.2.3 pattern recognition system digital image pattern recognition basic process 1.3Visua1C of + + digital image processing class 1.3.1Visua1c + + programming methods 1.3. 2Visua1c + + Chapter 2. digital image processing. pattern recognition method 2.1 Statistical Pattern Recognition 2.1.1 feature extraction and selection 2.1.2 Pattern Classification 2.1.3 mode clustering 2.2 classic pattern recognition decision and 2.2.1 Artificial Neural Network 2.2 .2 Hidden Markov Models 2.2.3 Decision Tree 2.2.4 template matching the 2.2.5 support vector machine second case. Chapter 3. one-dimensional bar code identification system. 3.1 3.2 core technology principle 3.2.1 barcode encoding Rule 3.2.2 pretreatment process - Binarization 3.2.3 decoding process - average method 3.3 system structure and the overall process 3.3.1 system the structure 3.3.2Z value to the average value method of algorithm flow 3.3.3 algorithm processes 3.4 programming 3.4.1 binarization algorithm 3.4.2 Chapter 4 of the 3.5 run effect of the average method extracted system based on fuzzy clustering pattern recognition system 4.1 Introduction 4.2 core technology principle of the identity and characteristics of the image 4.2.1 4.2.2 mode 4.2.4 Fuzzy clustering analysis of the basic concepts of measurement 4.2.3 Fuzzy Theory 4-3 system structure and process 4.3.1 System Architecture 4.3.2 image identification and feature extraction algorithm processes 4.3.3 calculate the fuzzy distance algorithm processes 4.3.4 4.4 programming fuzzy clustering algorithm processes the 4.4.1 image identification and feature extraction distance 4.4.3 4.4.2 calculate fuzzy fu. Nº de ref. del artículo: EI052433

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