Image Processing and Machine Learning Volume 2 is popular PDF and ePub book, written by Erik Cuevas in 2024-02-16, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Image Processing and Machine Learning Volume 2 can be Read Online from any device for your convenience.
Image Processing and Machine Learning Volume 2 Book PDF Summary
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.
Detail Book of Image Processing and Machine Learning Volume 2 PDF
- Author : Erik Cuevas
- Release : 16 February 2024
- Publisher : CRC Press
- ISBN : 9781003829140
- Genre : Computers
- Total Page : 239 pages
- Language : English
- PDF File Size : 9,5 Mb
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