Image Processing and Machine Learning, Volume 2

图像处理与机器学习 第2卷:图像分析与机器学习*主题

计算机科学技术基础学科

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出  版 社
出版时间
2024年02月16日
装      帧
精装
ISBN
9781032660325
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页      码
238
开      本
234 x 156 mm (6.14 x 9.21
语      种
英文
版      次
1 ed.
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图书简介
Image processing and machine learning are used in conjunction to analyze and understand images. Where image processing is used to pre-process images using techniques such as filtering, segmentation, and feature extraction, machine learning algorithms are used to 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, including 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. This second volume also incorporates several important machine learning techniques applied to image processing, 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.
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