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Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence

Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence

Abstract

Image Processing Techniques and its Applications in Computer Vision and Artificial Intelligence provides a comprehensive overview of image processing methods and their integration with AI and computer vision. The book covers essential techniques such as filtering, segmentation, and feature extraction, alongside advanced algorithms like edge detection and pattern recognition. It highlights the use of AI in applications such as object detection, face recognition, and medical imaging, with a focus on machine learning techniques like convolutional neural networks (CNNs). Practical case studies from industries such as healthcare, robotics, and autonomous driving illustrate real-world applications. This book is an essential resource for students, researchers, and professionals seeking to understand and apply image processing in AI-driven technologies.

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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