Description
Image Processing, Analysis, and Machine Vision with MindTap is a definitive resource for understanding the theory and practice of digital image processing and computer vision. The 4th edition combines classical techniques with contemporary machine vision applications, providing students and professionals with essential knowledge for analyzing visual data.
This textbook covers image acquisition, preprocessing, segmentation, feature extraction, and classification methods. It includes practical examples, algorithms, and case studies that demonstrate real-world applications in robotics, medical imaging, quality control, and surveillance systems. The integrated MindTap platform offers interactive learning experiences, videos, and hands-on exercises.
Authored by renowned experts Milan Sonka, Vaclav Hlavac, and Roger Boyle, this edition reflects current advancements in machine learning and deep learning approaches to vision tasks. Suitable for undergraduate and graduate students in computer science, electrical engineering, and related fields.







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