A Beginner’s Guide to Image Preprocessing Techniques
eBook - ePub

A Beginner’s Guide to Image Preprocessing Techniques

  1. 100 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

A Beginner’s Guide to Image Preprocessing Techniques

About this book

For optimal computer vision outcomes, attention to image pre-processing is required so that one can improve image features by eliminating unwanted falsification. This book emphasizes various image pre-processing methods which are necessary for early extraction of features from the image. Effective use of image pre-processing can offer advantages and resolve complications that finally results in improved detection of local and global features. Different approaches for image enrichments and improvements are conferred in this book that will affect the feature analysis depending on how the procedures are employed.

Key Features

  • Describes the methods used to prepare images for further analysis which includes noise removal, enhancement, segmentation, local, and global feature description
  • Includes image data pre-processing for neural networks and deep learning
  • Covers geometric, pixel brightness, filtering, mathematical morphology transformation, and segmentation pre-processing techniques
  • Illustrates a combination of basic and advanced pre-processing techniques essential to computer vision pipeline
  • Details complications to resolve using image pre-processing

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Yes, you can access A Beginner’s Guide to Image Preprocessing Techniques by Jyotismita Chaki,Nilanjan Dey in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Contents
  7. Preface
  8. Authors
  9. 1. Perspective of Image Preprocessing on Image Processing
  10. 2. Pixel Brightness Transformation Techniques
  11. 3. Geometric Transformation Techniques
  12. 4. Filtering Techniques
  13. 5. Segmentation Techniques
  14. 6. Mathematical Morphology Techniques
  15. 7. Other Applications of Image Preprocessing
  16. Index