Buy Image Processing with Python by Varun Bajaj at Bookstore UAE
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Book 1
Book 2
Book 3
Home > Computing and Information Technology > Computer science > Image processing > Image Processing with Python: A practical approach(IOP ebooks)
Image Processing with Python: A practical approach(IOP ebooks)

Image Processing with Python: A practical approach(IOP ebooks)


     0     
5
4
3
2
1



Out of Stock


Notify me when this book is in stock
X
About the Book

This book explores the domain of image processing using Python, with the help of working examples and accompanying code. Aimed at researchers and advanced students with a knowledge of image processing fundamentals, this book introduces Python programming via image processing and provides numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field, write their own code, and implement complex image processing algorithms such as image enhancement, compression, restoration, segmentation, watermarking, and encryption, and be able to incorporate machine learning models using relevant Python libraries. This book is prepared to meet the needs of young researchers and professionals who are about to start their research journey in the domain of image processing. This book will help readers develop their own applications, whether for software-based implementation or simulation and testing before a final hardware implementation. Key Features: Hands-on Python examples and code for each chapter From basics of image processing to advanced topics Focus on practical applications such as computer vision Includes ML-based applications

Table of Contents:
Vol 2: Image Processing Preface Acknowledgements Editor biographies List of contributors Contributor biographies 1 Basics of image analysis and manipulation using Python 2 Digital image processing using Python language 3 Review and implementation of image segmentation techniques in Python 4 Segmentation of digital images with region growing algorithm 5 Retinal layer segmentation in OCT images 6 Image denoising using wavelet thresholding technique in Python 7 Prostate cancer segmentation of peripheral zone and central gland regions in mpMRI: comparative analysis with deep neural network U-Net and its advanced models 8 Optical character recognition: transforming images into text 9 Automatic COVID-19 identification with a binary neural network using CT images 10 A review and implementation of image despeckling methods 11 Application of image processing and machine learning techniques for vegetation cover classification in precision agriculture

About the Author :
Irshad Ahmad Ansari (PhD, SMIEEE20) has been working as an Assistant Professor Grade I in the Department of Electrical and Electronics Engineering at ABVIIITM, Gwalior, India, since June 2023. He has more than 70 publications, including 29 SCI/ SCIE journal papers, 28 international conference papers, 6 edited books, and 6 book chapters. He has been listed as the world’s top 2% of researchers/scientists by Stanford University, USA (October, 2023). Varun Bajaj (PhD, SMIEEE20) has been working as an Associate Professor in the discipline of Electronics and Communication Engineering at Maulana Azad National Institute of Technology Bhopal, India since Jan 2024. He is an Associate Editor of the IEEE Sensor Journal, Biomedical Signal Processing for Frontiers in Signal Processing, and Subject Editor-in-Chief of IET Electronics Letters. He has 170 publications, which include 104 journal papers, 35 conference papers, 13 books, and 18 book chapters. He has been listed in the world's top 2% of researchers/scientists by Stanford University, USA (October 2020, October 2021, October 2022, October 2023).


Best Sellers


Product Details
  • ISBN-13: 9780750359221
  • Publisher: Institute of Physics Publishing
  • Publisher Imprint: Institute of Physics Publishing
  • Height: 254 mm
  • Series Title: IOP ebooks
  • Width: 178 mm
  • ISBN-10: 0750359226
  • Publisher Date: 29 Jul 2024
  • Binding: Hardback
  • Language: English
  • Sub Title: A practical approach


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Image Processing with Python: A practical approach(IOP ebooks)
Institute of Physics Publishing -
Image Processing with Python: A practical approach(IOP ebooks)
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Image Processing with Python: A practical approach(IOP ebooks)

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    Fresh on the Shelf


    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!