Erik Cuevas,Alma Nayeli Rodriguez
Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
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- More about Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning
Image processing and machine learning are used to analyze and understand images. This book is a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of image processing methods and approaches. It is divided into two volumes, with the second volume exploring advanced concepts and techniques such as morphological filters, color image processing, image matching, feature-based segmentation, and singular value decomposition for image compression. It is written with instructors and students in mind and contains appeal for app developers and engineers.
Format: Hardback
Length: 224 pages
Publication date: 16 February 2024
Publisher: Taylor & Francis Ltd
Image processing and machine learning are two powerful tools that are used in conjunction to analyze and understand images. Image processing involves pre-processing images using techniques such as filtering, segmentation, and feature extraction, while machine learning algorithms interpret the processed data through classification, clustering, and object detection. This book serves as a textbook for students and instructors of image processing, covering the theoretical foundations and practical applications of some of the most prevalent image processing methods and approaches.
Divided into two volumes, this second installment explores the more advanced concepts and techniques in image processing. It includes morphological filters, color image processing, image matching, feature-based segmentation utilizing the mean shift algorithm, and the application of singular value decomposition for image compression. Additionally, several important machine learning techniques applied to image processing are incorporated, building on the foundational knowledge introduced in Volume 1.
Written with instructors and students of image processing in mind, this book's intuitive organization also contains appeal for app developers and engineers. By leveraging the power of image processing and machine learning, we can gain a deeper understanding of images and apply this knowledge to various fields, such as healthcare, surveillance, and robotics.
Weight: 600g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032660325
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