Applied Computer Vision and Soft Computing with Interpretable AI 1st Edition

Capture attention with a practical roadmap to the next wave of intelligent imaging. Applied Computer Vision and Soft Computing with Interpretable AI, 1st Edition presents a modern synthesis of computer vision, soft computing techniques, and explainable AI—designed for engineers, researchers, and advanced students seeking real-world, deployable solutions.

Discover clear, application-focused explanations of core image processing and machine learning methods, paired with soft computing paradigms such as fuzzy systems, evolutionary optimization, and hybrid neural approaches. The text emphasizes interpretability—showing how transparency, explainable models, and visualization tools can improve trust, debugging, and regulatory compliance in domains from medical imaging and autonomous vehicles to industrial inspection and smart agriculture.

Practical case studies and algorithmic insights guide readers from foundational theory to prototype implementation, with an emphasis on performance, robustness, and explainable outcomes. Whether you work in North America, Europe, Asia-Pacific, or emerging tech hubs worldwide, this volume equips you to build vision systems that are accurate, resilient, and understandable by stakeholders.

Clear diagrams, stepwise algorithm walkthroughs, and comparative analyses make complex concepts accessible without sacrificing technical rigor. The book is ideal for professionals upskilling in applied computer vision, academic courses in machine learning and image analysis, and research teams focused on interpretable AI.

Add Applied Computer Vision and Soft Computing with Interpretable AI (1st Edition) to your collection to bridge cutting-edge research and practical deployment—empowering your projects with transparent, high-performance vision solutions. Purchase now to transform how you design and explain intelligent imaging systems.

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