Digital Image Processing Using MATLAB 3rd Edition by R C Gonzalez (Author)
- Publisher: COMPUTER SCIENCE
- Availability: In Stock
- SKU: 53349
- Number of Pages: 1023
Rs.2,390.00
Rs.2,995.00
Tags: 3rd edition , academic MATLAB book , AI image processing , computer science book , computer vision learning , digital image analysis , Digital Image Processing , Digital Image Processing Using MATLAB , DIP book , DIP concepts , edge detection , engineering image processing , filter design MATLAB , Fourier transform images , histogram processing , image compression , image enhancement , image processing algorithms , image processing techniques , image restoration , image segmentation , image transformation , MATLAB book , MATLAB coding guide , MATLAB examples , MATLAB programming , pattern recognition , pixel processing , R C Gonzalez , R E Woods , Rafael C Gonzalez , research in image processing , S L Eddins , vision systems
π Title Name: Digital Image Processing Using MATLAB (3rd Edition)
βοΈ Author: R C Gonzalez, R E Woods, S L Eddins
π¦ Quality: White Paper Pakistan Print
πΉ Introduction:
Digital Image Processing Using MATLAB is a practical and highly technical guide that bridges the gap between theory and real-world implementation of image processing techniques. This book focuses on using MATLAB as a tool to understand, simulate, and apply core concepts of digital image processing in engineering, computer science, and research applications.
π Key Points:
- Covers fundamental concepts of digital image processing with MATLAB implementation.
- Explains image enhancement, restoration, segmentation, and compression techniques.
- Provides hands-on MATLAB examples for better practical understanding.
- Bridges theoretical concepts with real-world engineering applications.
- Useful for students, researchers, and professionals in computer vision and AI fields.
π Conclusion:
This book is an essential resource for mastering digital image processing using MATLAB. It combines strong theoretical foundations with practical coding applications, making it highly valuable for academic learning and advanced research in image processing and computer vision.