What Is Pattern Recognition Image Processing?

Based on the author's research and work on image processing and pattern recognition, this book discusses and discusses several key issues in image processing and pattern recognition. The book is divided into 10 chapters, including color vision characteristics and color similarity measurement, image filtering method based on pulse noise detection, gray image multi-structural element morphological edge detection, color image edge detection based on morphological transformation, and color image region segmentation. And application, image feature extraction based on moment invariant method, image fuzzy classification based on BP neural network, Manchu text recognition and processing, etc.

Image processing and pattern recognition

(Published by Science Press)

This book can be read by scientific researchers and engineering technicians in information science, mathematical sciences, life sciences and remote sensing science.

Foreword

Chapter 1 Color Visual Properties and Color Similarity Measures

1.1 Introduction

1.2 Basic Photometric Concepts

1.3 Basic Principles of Vision

1.4 Basic color characteristics

1.5 Color Visual Principle

1.6 Color space analysis

1.7 Color Similarity Measures

1.8 Experimental results and analysis

1.9 Summary

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Chapter 2 Image Filtering Methods Based on Impulse Noise Detection

2.1 Introduction

2.2 image noise

2.3 Grayscale image impulse noise filtering

2.4 Color image impulse noise filtering

2.5 Experimental results and analysis

2.6 Chapter Summary

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Chapter 3 Morphological Edge Detection of Multi-Structural Elements in Grayscale Images

3.1 Introduction

3.2 Characteristics of mathematical morphology

3.3 Binary Morphology

3.4 Basic Operations of Gray Mathematical Morphology

3.5 Edge detection gradient of gray image morphology

3.6 Anti-noise morphological edge detection algorithm

3.7 Multi-Structural Element Morphology Edge Detection Algorithm

3.8 Structural Element Selection

3.9 Experimental results and analysis

3.10 Summary

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Chapter 4 Color Image Edge Detection Based on Morphological Transformation

4.1 Introduction

4.2 Research on the detection of shadow transitions in images

4.3 HSI color space morphological transformation

4.4 Color Morphology Open and Close Operations

4.5 Multi-Structure Element Color Morphology Edge Detection Algorithm

4.6 Experimental results and analysis

4.7 Chapter Summary

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Chapter 5 Color Image Region Segmentation and Application

5.1 Introduction

5.2 Color image region segmentation

5.3 Football Robot Vision System Overview

5.4 Search and Segmentation of Football Robot Color Labels

5.5 Experimental results and analysis

5.6 Chapter Summary

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Chapter 6 Image Feature Extraction Based on Moment Invariant Method

6.1 Introduction

6.2 Invariant moment theory

6.3 Calculation of line moment features

6.4 Experimental results and analysis

6.5 Chapter Summary

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Chapter 7 Fuzzy Classification of Images Based on BP Neural Network

7.1 Introduction

7.2 Multilayer forward neural networks

7.3 Neural Network Training and Learning Preprocessing

7.4 Color Classification Based on BP Neural Network

7.5 Experimental results and analysis

7.6 Chapter Summary

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Chapter 8 Preprocessing of Manchu Character Recognition

8.1 Introduction

8.2 Full text encoding system

8.3 Binarization

8.4 Tilt correction

8.5 Layout Analysis

8.6 Preprocessing of Manchu word recognition

8.7 Chapter Summary

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Chapter 9 Manchu Character Recognition

9.1 Introduction

9.2 Principles and methods of text recognition

9.3 Status of text recognition

9.4 Manchu Character Recognition System Structure

9.5 Manchu Character Recognition Based on Stroke Primitives

9.6 Full text recognition based on secondary substructure guidance

9.7 WNN-based Manchu Connected Stroke Recognition

9.8 Experimental results and analysis

9.9 Chapter Summary

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Chapter 10 Post-processing of Manchu Character Recognition

10.1 Introduction

10.2 Principles and methods of post-processing

10.3 Knowledge-Based Post-processing for Manchu Recognition

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