Beginner's Guide to Image Preprocessing Techniques
Beginner's Guide to Image Preprocessing Techniques
;
Taylor & Francis Ltd
11/2018
100
Dura
Inglês
9781138339316
15 a 20 dias
Descrição não disponível.
Chapter 1: Perspective of Image Preprocessing on Image Processing 1.1 Introduction to Image Preprocessing 1.2 Complications to resolve using Image Preprocessing 1.3 Effect of Image Preprocessing on Image Recognition 1.4 Summary 1.5 References Chapter 2: Pixel Brightness Transformation Techniques 2.1 Position Dependent Brightness Correction 2.2 Grayscale Transformations 2.3 Summary 2.4 References Chapter 3: Geometric Transformation Techniques 3.1 Pixel Coordinate Transformation or Spatial Transformation 3.2 Brightness Interpolation 3.3 Summary 3.4 References Chapter 4: Filtering Techniques 4.1 Spatial filter 4.2 Frequency Filter 4.3 Summary 4.4 References Chapter 5: Segmentation Techniques 5.1 Thresholding 5.2 Edge Based Segmentation 5.3 Region-Based Segmentation 5.4 Summary 5.5 References Chapter 6: Mathematical Morphology Techniques 6.1 Binary Morphology 6.2 Grayscale Morphology 6.3 Summary 6.4 References Chapter 7: Other Applications of Image Preprocessing 7.1 Preprocessing of Color Images 7.2 Image preprocessing for Neural Networks and Deep learning 7.3 Summary 7.4 References
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Chapter 1: Perspective of Image Preprocessing on Image Processing 1.1 Introduction to Image Preprocessing 1.2 Complications to resolve using Image Preprocessing 1.3 Effect of Image Preprocessing on Image Recognition 1.4 Summary 1.5 References Chapter 2: Pixel Brightness Transformation Techniques 2.1 Position Dependent Brightness Correction 2.2 Grayscale Transformations 2.3 Summary 2.4 References Chapter 3: Geometric Transformation Techniques 3.1 Pixel Coordinate Transformation or Spatial Transformation 3.2 Brightness Interpolation 3.3 Summary 3.4 References Chapter 4: Filtering Techniques 4.1 Spatial filter 4.2 Frequency Filter 4.3 Summary 4.4 References Chapter 5: Segmentation Techniques 5.1 Thresholding 5.2 Edge Based Segmentation 5.3 Region-Based Segmentation 5.4 Summary 5.5 References Chapter 6: Mathematical Morphology Techniques 6.1 Binary Morphology 6.2 Grayscale Morphology 6.3 Summary 6.4 References Chapter 7: Other Applications of Image Preprocessing 7.1 Preprocessing of Color Images 7.2 Image preprocessing for Neural Networks and Deep learning 7.3 Summary 7.4 References
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