Item #:
67555371
Image Processing And Acquisition Using Python
82% of respondents would recommend this to a friend
Item #:
67555371
MOP 2161
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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.
Product Details
| Book Title | Image Processing And Acquisition Using Python |
| ISBN | 9780367198084 |
| Subject Area | Mathematics, Computers, Technology & Engineering |
| Publication Name | Image Processing and Acquisition Using Python |
| Publisher | CRC Press LLC |
| Item Length | 0 in (0 cm) |
| Subject | Image Processing, Graphic Methods, General, Programming Languages / Python, Imaging Systems |
| Publication Year | 2020 |
| Series | Chapman and Hall/Crc the Python Ser. |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 0 in (0 cm) |
| Author | Sridevi Pudipeddi, Ravishankar Chityala |
| Item Weight | 35.5 Oz (1006.43 grams) |
| Item Width | 0 in (0 cm) |
| Number of Pages | 421 Pages |
Who Should Buy?
-
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.
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Beginner Coders
Not suitable for absolute beginners in programming, as it demands prior knowledge of Python and image processing concepts.
Product Description
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Customer Questions & Answers
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Question:
What programming language is primarily used in the book?
Answer: The book uses Python, which is known for its ease of learning. -
Question:
Are exercises included in the book?
Answer: Yes, the book includes numerous exercises to test reader skills. -
Question:
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.
Editorial Review
Image Processing And Acquisition Using Python is an in-depth textbook by Sridevi Pudipeddi and Ravishankar Chityala, focusing on essential concepts in image processing and programming with Python. This comprehensive guide covers a wide array of subjects, including graphic methods and imaging systems, presented in a hardcover format for lasting use. With 421 pages of insightful content, readers will benefit from the structured approach that combines theoretical understanding with practical applications. Published in 2020, it serves as a crucial resource in the fields of mathematics, computers, and technology.
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Pros
- Comprehensive coverage of image processing concepts
- Written by experts in the field
- Practical applications with Python programming
- Well-structured content for easy understanding
- Hardcover format for durability
Cons
- Length may be overwhelming for beginners
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MOP 2161
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Features & Benefits
- 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.
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