Description
The Illustrated Handbook of Digital Image Processing, by Rafael Gonzalez, is a leading reference in the field of machine vision and image processing. Focusing on presenting mathematical concepts in simple language and using abundant illustrations, this work helps the reader to understand the processes of enhancing, retrieving, and analyzing digital images. The handbook is designed to be useful for both graduate students and engineers working in industry.
Starting from the basics of image formation and progressing to the most sophisticated algorithms of artificial intelligence and deep learning, the author combines classical theories with modern methods to provide a set of practical tools for solving real-world problems in fields such as medical imaging, satellite imaging, and automatic object recognition systems, making it the most comprehensive resource of its kind in this field.
Book Features
- Extensive coverage of topics including spatial and frequency domain filters for improving image quality.
- Teaching segmentation techniques and object recognition in complex images.
- An in-depth look at processing color images and working with different color spaces.
- Presenting modern topics such as deep neural networks and machine learning in image processing.
- Contains over hundreds of sample images and visual examples for better understanding of algorithms.
- Includes practical exercises and computer projects to implement theories.
Book specifications
- Publisher: 3G E-learning
- Number of pages: 324
- Number of chapters: 7
- Format: PDF
Headlines
Fundamental of digital image processing
Image Enhancement
Image restoration and segmentation
Wavelets and image compression
Image representation and recognition
Color image processing
Sampling and quantization
Pictures
User Guide
Extract the file and run it with the appropriate software.
Download link
File(s) password: www.downloadly.ir
File size
25 MB
