A beginner’s guide to image preprocessing techniques (pdf)

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Author Chaki, Jyotismita; Dey, Nilanjan
Edition 1
Edition Year 2018
Format PDF
ISBN 9780367570804
Language English
Number Of Pages 114
Publisher CRC Press

Description

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-processingFor 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. 

Additional information

Author

Chaki, Jyotismita; Dey, Nilanjan

Edition

1

Edition Year

2018

Format

PDF

ISBN

9780367570804

Language

English

Number Of Pages

114

Publisher

CRC Press

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