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As a guide through the evolving landscape of computer vision, this book explores the crucial field of image segmentation, breaking down complex concepts into accessible insights. The book unfolds the intricacies of image segmentation from the fundamental principles that form the basis of image segmentation to Algorithmic Symphony that takes readers on a discourse about precision, navigating through sophisticated techniques that enhance segmentation accuracy. The book explores the application of advanced deep learning algorithms in image segmentation, addressing challenges, offering effective…mehr

Produktbeschreibung
As a guide through the evolving landscape of computer vision, this book explores the crucial field of image segmentation, breaking down complex concepts into accessible insights. The book unfolds the intricacies of image segmentation from the fundamental principles that form the basis of image segmentation to Algorithmic Symphony that takes readers on a discourse about precision, navigating through sophisticated techniques that enhance segmentation accuracy. The book explores the application of advanced deep learning algorithms in image segmentation, addressing challenges, offering effective strategies to enhance segmentation accuracy even in noisy environments. With a harmonious blend of theory and practical insights, this book serves as an indispensable resource for researchers, professionals, and enthusiasts eager to master the advancements in image segmentation technology.
Autorenporträt
Mme Jyoti Kataria et M. Ashwani Kumar sont actuellement professeurs adjoints à l'école d'ingénierie et de technologie de l'université K. R. Mangalam. Mme Kataria et M. Kumar poursuivent actuellement leur doctorat dans le domaine de l'informatique et de l'ingénierie. Leurs recherches portent sur l'apprentissage automatique, l'apprentissage profond et la vision par ordinateur.