Image processing and machine learning are used in combination 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 processed data through classification, clustering, and object detection. . This book serves as a textbook for image processing students and instructors, covering the theoretical foundations and practical applications of several popular image processing methods and approaches. best.
Volume 1: Foundations of Image Processing:
Divided into two volumes, this first part explores foundational concepts and techniques in image processing, starting with pixel manipulation 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 foundation needed for the deeper explorations covered. in Volume 2.
Table of contents for volume 1:
✓ Chapter 01: Pixel Operations.
✓ Chapter 02: Spatial Filtering.
✓ Chapter 03: Edge Detection.
✓ Chapter 04: Segmentation & Processing of Binary Images.
✓ Chapter 05: Corner Detection.
✓ Chapter 06: Line Detection.
Volume 2: Advanced topics in Image Analysis and Machine Learning:
Divided into two volumes, this second part explores more advanced concepts and techniques in image processing, including morphological filters, color image processing, image matching, feature-based segmentation using mean shift algorithms, and Application of singular value decomposition for image compression. This second volume also incorporates some important machine learning techniques applied to image processing, building on the foundational knowledge introduced in Volume 1.
Table of contents for volume 2:
✓ Chương 07: Morphological Operations.
✓ Chương 08: Color Images.
✓ Chương 09: Geometric Operations trong Images.
✓ Chương 10: Comparison & Recognition of Images.
✓ Chương 11: Mean-Shift Algorithm for Segmentation.
✓ Chương 12: Singular Value Decomposition trong Image Processing.
Written for instructors and students of image processing, this book’s intuitive organization also has appeal for application developers and engineers.
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