Digital Image Processing
Illustration using Python
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Product details:
- Publisher Springer Nature Singapore
- Date of Publication 28 September 2025
- Number of Volumes 1 pieces, Book
- ISBN 9789819663811
- Binding Paperback
- No. of pages870 pages
- Size 235x155 mm
- Language English
- Illustrations XXIV, 870 p. 1016 illus., 283 illus. in color. Illustrations, black & white 700
Categories
Long description:
Digital image processing plays a crucial role in facilitating efficient storage, transmission, manipulation, and retrieval of images. Python, renowned for its open-source nature and strong community support, offers a user-friendly platform with extensive image processing capabilities through libraries such as computer vision and scikit-learn.
This textbook serves as a practical guide to digital image processing using Python, presenting fundamental concepts, techniques, and algorithms with illustrative examples in Python. Each chapter begins with clear learning objectives and concludes with exercises and multiple-choice questions for self-assessment. Drawing from a diverse range of sources including research articles and books, the references provided at the end of each chapter encourage further exploration.
Tailored for undergraduate and postgraduate students, research scholars, engineers, and faculty specializing in image processing, it assumes a foundational understanding of set theory, matrix algebra, probability, and random variables.
Table of Contents:
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Chapter 1: elements of image processing.- Chapter 2: two dimensional convolution and correlaton.- Chapter 3: image transforms.- Chapter 4: image enhancement.- Chapter 5: image denoising and image restoration.- Chapter 6: morphological image processing.- Chapter 7: image segmentation.- Chapter 8: feature extraction.- Chapter 9: image compression.- Chapter 10: colour image processing.
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