Image Processing And Acquisition Using Python
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Image Processing And Acquisition Using Python
Image Processing And Acquisition Using Python provides a sound foundation in both image acquisition and image processing, helping readers perform experiments more effectively and analyze and measure more accurately.
Image Processing And Acquisition Using Python
Elementas #: 67555371

Image Processing And Acquisition Using Python

Elementas #: 67555371

€ 222

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Image Processing And Acquisition Using Python provides a sound foundation in both image acquisition and image processing, helping readers perform experiments more effectively and analyze and measure more accurately.
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What Stands Out

Comprehensive Coverage
Offers an extensive overview of image processing concepts and techniques, making it suitable for beginners and seasoned professionals alike, enhancing learning and practical application.
Python Integration
Utilizes Python, a popular programming language, empowering users to implement advanced image analysis tools and libraries effectively, streamlining the development process and boosting productivity.
Hands-On Examples
Includes practical exercises and real-world examples, ensuring that learners can apply theoretical knowledge to solve actual image processing problems, enhancing skill development and retention.

Produkto Aprašymas

Shop Image Processing And Acquisition Using Python online at a best price in Lithuania. 185436221883
EstadoNovo em folha: Livro novo, que nunca foi usado ou lido, em perfeito estado, sem nenhuma pu00e1gina ...
Estado do itemNovo em folha
Book TitleImage Processing And Acquisition Using Python
ISBN9780367198084
Subject AreaMathematics, Computers, Technology & Engineering
Publication NameImage Processing and Acquisition Using Python
PublisherCRC Press LLC
Item Length0 in
SubjectImage Processing, Graphic Methods, General, Programming Languages / Python, Imaging Systems
Publication Year2020
SeriesChapman and Hall/Crc the Python Ser.
TypeTextbook
FormatHardcover
LanguageEnglish
Item Height0 in
AuthorSridevi Pudipeddi, Ravishankar Chityala
Item Weight35.5 Oz (1006.43 grams)
Item Width0 in
Number of Pages421 Pages

Who Should Buy?

Suitable For
  • Data Scientists

    Ideal for data scientists looking to enhance their skills in image processing and data analysis using Python.

  • Computer Vision Enthusiasts

    Perfect for those interested in computer vision projects that require robust image acquisition and processing capabilities.

  • Students & Educators

    Beneficial for students and educators aiming to incorporate practical image processing applications in Python-based learning environments.

Not Suitable For
  • Beginner Coders

    Not suitable for absolute beginners in programming, as it demands prior knowledge of Python and image processing concepts.

  • Non-Technical Users

    May overwhelm non-technical users who seek simple solutions without in-depth coding or technical image analysis requirements.

  • Advanced Users

    Advanced users may find the material too basic, lacking in-depth exploration of complex image processing algorithms.

PRODUKTO APRAŠYMAS

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Klientų klausimai ir atsakymai

  • klausimas: What programming language is primarily used in the book?

    Answer: The book uses Python, which is known for its ease of learning.
  • klausimas: Are exercises included in the book?

    Answer: Yes, the book includes numerous exercises to test reader skills.
  • klausimas: What are the new features in the second edition?

    Answer: The second edition includes new chapters on neural networks and convolutional neural networks, along with updated algorithms.

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Argumentai "už"

  • User-friendly for beginners
  • Comprehensive tutorials included
  • Supports various image formats
  • Active community for support and sharing
  • Well-structured content and examples

Minusai

  • Some advanced topics are less detailed.

Product Price History

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€ 222

Užsisakykite dabar ir gaukite jį Monday, Birželis 29

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Savybės ir privalumai

  • Integrates image acquisition and processing for a comprehensive understanding.
  • Enhances experimentation effectiveness and cost efficiency.
  • Features practical Python examples for learners and experienced readers.
  • Offers insights into various image acquisition modalities, including X-Ray and MRI.
  • Includes exercises to test skills and solution resources online.
  • New edition features chapters on machine learning and algorithms.