A Beginner's Guide to Image Preprocessing Techniques

This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image, leading to improved detection of local and global features. Different approaches for image enrichments and improvements are included that affect feature analysis, depending on how the procedures are employed. .

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