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A Beginner’s Guide to Image Preprocessing Techniques / Jyotismita Chaki, Nilanjan Dey.

By: Contributor(s): Material type: TextTextSeries: Intelligent Signal Processing and Data AnalysisPublisher: CRC Press, 2018Edition: 1stDescription: 1 online resource (100 pages : 123 illustrations)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429805103
  • 0429805101
  • 9780429805110
  • 9780429441134
DDC classification:
  • 23 006.6
Online resources:
Contents:
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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