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Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras
Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
Item #: 42406013

Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

Item #: 42406013

KWD 18

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Discover solutions to complex image processing tasks using Python tools such as scikit-image and Keras
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What Stands Out

Comprehensive Recipes
Offers over 60 detailed recipes covering a wide range of image processing tasks, making it easy for users to follow and implement complex techniques without prior expertise.
User-Friendly Approach
Written in an accessible format that simplifies complex concepts, allowing beginners to grasp the fundamentals of computer vision while providing advanced tips for seasoned users.
Practical Applications
Focuses on real-world applications and projects, equipping readers with hands-on experience for immediate integration of image processing skills in various industries and use cases.

Product Details

Buy the Python Image Processing Cookbook on Ubuy Kuwait and perform complex image processing and computer vision tasks with ease. Over 60 recipes available!
  • Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
  • Utilize Python tools such as scikit-image and Keras to solve real-world image processing problems
  • Explore concepts like machine learning, deep learning, and neural networks for image processing
  • Implement supervised and unsupervised machine learning algorithms for image processing
  • Apply image segmentation, registration, and restoration techniques on medical images
  • Suitable for image processing engineers, computer vision engineers, and anyone interested in image processing techniques
Publisher Packt Publishing
Publication date April 17, 2020
Language English
Print length 438 pages
ISBN-10 1789537142
ISBN-13 978-1789537147
Item Weight 1.65 pounds (750 grams)
Dimensions 7.5 x 0.99 x 9.25 inches (19.1 x 2.5 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance image data analysis and manipulation using Python libraries effectively.

  • Beginner Programmers

    Perfect for beginners aiming to learn image processing concepts through practical, hands-on recipes and examples.

  • Machine Learning Enthusiasts

    Beneficial for those interested in integrating image processing techniques into machine learning projects to enhance model performance.

Not Suitable For
  • Advanced Experts

    Not suitable for advanced users seeking in-depth theoretical understanding or highly specialized techniques in image processing.

Product Description

Python Image Processing Cookbook: Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Intelligence & Semantics Editorial Review

This book contains a collection of algorithms for computer vision, but it has poor graphical and printing quality, which makes it difficult to appreciate the processing technique being demonstrated. The book is only a cookbook that does not provide deep details or explain algorithms properly. However, the content is well-structured, with compact chapters. The "How it works" section is also poorly explained and does not provide any background on signal processing terms. There are unexplained figures that seem to fill pages unnecessarily. The book also uses many different frameworks and does not compare the results of different algorithms. It does not give any indication of when to use or not to use a certain algorithm. The font size is huge, which is distracting and lengthens the page numbers, and the images are only black and white with low resolution. The book is not recommended for purchase as a printed version. However, it could still be used as a quick reference for finding a Python implementation of image processing tool and to see which algorithms are available.

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Pros

  • Clearly structured content
  • Compact chapters

Cons

  • Poor graphical and printing quality

Product Price History

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