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IMAGE PROCESSING AND MACHINE LEARNING : VOLUME 1, FOUNDATIONS OF IMAGE PROCESSING / Erik Cuevas and Alma Nayeli Rodríguez

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: BOCA RATON : CHAPMAN & HALL CRC, 2024Edition: First editionDescription: 1 Online-RessourceISBN:
  • 1003829112
  • 9781003829119
  • 9781003287414
  • 1003287417
  • 9781003829157
  • 1003829155
Other title:
  • Foundations of image processing
Subject(s): Additional physical formats: 9781032234588. | 9781032262604. DDC classification:
  • 621.36/7 23/eng/20240111
  • 006.4/2 23/eng/20240206
LOC classification:
  • TA1637
Online resources: 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 first installment explores the fundamental concepts and techniques in image processing, starting with pixel operations and their properties and exploring spatial filtering, edge detection, image segmentation, corner detection, and geometric transformations. It provides a solid foundation for readers interested in understanding the core principles and practical applications of image processing, establishing the essential groundwork necessary for further explorations covered in Volume 2. Written with instructors and students of image processing in mind, this book's intuitive organization also contains appeal for app developers and engineersPPN: PPN: 1907954287Package identifier: Produktsigel: ZDB-4-NLEBK | BSZ-4-NLEBK-KAUB
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