Image Processing And Acquisition Using Python
€ 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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Produkta informācija
| 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.
PRODUKTA APRAKSTS
Klientu jautājumi un atbildes
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jautājums:
What programming language is primarily used in the book?
atbildi: The book uses Python, which is known for its ease of learning. -
jautājums:
Are exercises included in the book?
atbildi: Yes, the book includes numerous exercises to test reader skills. -
jautājums:
What are the new features in the second edition?
atbildi: The second edition includes new chapters on neural networks and convolutional neural networks, along with updated algorithms.
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Pros
- User-friendly for beginners
- Comprehensive tutorials included
- Supports various image formats
- Active community for support and sharing
- Well-structured content and examples
Mīnusi
- Some advanced topics are less detailed.
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Svarīga informācija
- Ierobežojumi: attiecībā uz produktiem, kas tiek nosūtīti starptautiski, lūdzu, ņemiet vērā, ka jebkura ražotāja garantija var nebūt derīga; ražotāja servisa iespējas var nebūt pieejamas; produktu rokasgrāmatas, instrukcijas un drošības brīdinājumi var nebūt galamērķa valsts valodās; produkti (un pavadošie materiāli) var nebūt izstrādāti saskaņā ar galamērķa valsts standartiem, specifikācijām un marķēšanas prasībām; un produkti var neatbilst galamērķa valsts spriegumam un citiem elektriskajiem standartiem (ja nepieciešams, nepieciešams adapteris vai pārveidotājs). Par to, lai produktu varētu likumīgi ievest galamērķa valstī, ir atbildīgs saņēmējs. Pasūtot no Ubuy vai tā saistītajiem uzņēmumiem, saņēmējs ir ierakstu importētājs, un viņam jāievēro visi galamērķa valsts tiesību akti un noteikumi.
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Funkcijas un priekšrocības
- 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.