Image Processing And Acquisition Using Python
TJS 2896
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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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| Estado | Novo em folha: Livro novo, que nunca foi usado ou lido, em perfeito estado, sem nenhuma pu00e1gina ... |
| Estado do item | Novo em folha |
| 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 |
| 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 |
| Author | Sridevi Pudipeddi, Ravishankar Chityala |
| Item Weight | 35.5 Oz (1006.43 grams) |
| Item Width | 0 in |
| Number of Pages | 421 Pages |
Who Should Buy?
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Data Scientists
Ideal for data scientists looking to enhance their skills in image processing and data analysis using Python.
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Computer Vision Enthusiasts
Perfect for those interested in computer vision projects that require robust image acquisition and processing capabilities.
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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.
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Non-Technical Users
May overwhelm non-technical users who seek simple solutions without in-depth coding or technical image analysis requirements.
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Advanced Users
Advanced users may find the material too basic, lacking in-depth exploration of complex image processing algorithms.
ОПИСАНИЕ ТОВАРА
Вопросы и ответы клиентов
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вопрос:
What programming language is primarily used in the book?
отвечать: The book uses Python, which is known for its ease of learning. -
вопрос:
Are exercises included in the book?
отвечать: Yes, the book includes numerous exercises to test reader skills. -
вопрос:
What are the new features in the second edition?
отвечать: The second edition includes new chapters on neural networks and convolutional neural networks, along with updated algorithms.
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Плюсы
- User-friendly for beginners
- Comprehensive tutorials included
- Supports various image formats
- Active community for support and sharing
- Well-structured content and examples
Минусы
- Some advanced topics are less detailed.
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Особенности и преимущества
- 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.