Computer Vision 1st Edition

Computer Vision 1st Edition by Mrinal Kanti Bhowmik is an authoritative, modern introduction to the fast-evolving field of computer vision. Clear, concise and written for practical understanding, this book bridges mathematical foundations and real-world applications—making it essential for students, engineers, and professionals across India, the US, UK and beyond.

From core image processing and feature detection to advanced topics like object recognition, deep learning integration, and 3D reconstruction, the text walks readers step-by-step through algorithms and concepts with intuitive explanations and illustrative examples. Each chapter builds conceptual depth while highlighting practical use-cases in autonomous vehicles, medical imaging, robotics, augmented reality and surveillance systems—helping readers see how theory maps to industry challenges.

Readers will appreciate the balanced mix of theory and practice: rigorous derivations for researchers, algorithmic insights for developers, and worked examples for classroom learning. Well-structured exercises and end-of-chapter summaries reinforce understanding and make this book suitable for undergraduate and graduate courses, professional upskilling, and self-study.

SEO-friendly and globally relevant, this edition is tailored to address contemporary trends in computer vision and machine learning. Whether you’re preparing for exams, developing prototype systems, or pursuing research, Computer Vision 1st Edition offers the clarity and depth needed to advance your knowledge and career.

Ready to deepen your expertise in image analysis and intelligent vision systems? Add this essential textbook by Mrinal Kanti Bhowmik to your library and start turning complex concepts into practical solutions.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.