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- Feature Extraction and Image Processing for C...
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46606682
Feature Extraction and Image Processing for Computer Vision
87% of respondents would recommend this to a friend
Item #:
46606682
MYR 571
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What Stands Out
Comprehensive Coverage
This edition offers extensive insights into feature extraction techniques and image processing, providing readers a complete understanding of computer vision for practical applications.
Updated Content
The latest research and methodologies are incorporated, ensuring readers are well-versed in cutting-edge advancements and tools in the rapidly evolving field of computer vision.
Practical Applications
Real-world examples and case studies help bridge theory and practice, equipping readers with the skills to tackle complex computer vision challenges in various industries.
Maklumat produk
| Publisher | Academic Press |
| Publication date | December 2, 2019 |
| Edition | 4th |
| Language | English |
| Print length | 650 pages |
| ISBN-10 | 0128149760 |
| ISBN-13 | 978-0128149768 |
| Item Weight | 7.6 ounces (215.46 grams) |
| Dimensions | 7.52 x 1.53 x 9.25 inches (19.1 x 3.9 x 23.5 cm) |
Who Should Buy?
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Students of Vision
Ideal for computer vision students seeking a comprehensive understanding of feature extraction techniques and practical applications.
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Industry Professionals
Beneficial for professionals working in AI and machine learning who require in-depth knowledge of image processing methods.
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Researchers
Suited for researchers looking for a solid foundation in image processing theories and their implementation in real-world scenarios.
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Casual Learners
Not suitable for those seeking basic knowledge without technical depth in computer vision and image processing.
PENERANGAN PRODUK
Feature Extraction and Image Processing for Computer Vision
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Computer Vision & Pattern Recognition Editorial Review
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Ulas Produk Ini
Kongsikan pandangan anda dengan pelanggan lain
Kebaikan
- Comprehensive coverage of topics
- Easy to understand explanations
- Numerous practical examples
- Well-structured content
- Updated for current technologies
Keburukan
- Some sections may feel dense.
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22 October 2026 · via Trustpilot
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