Image Processing and Machine Learning, Volume 1:...

Main
Computers - Artificial Intelligence (AI)
Image Processing and Machine Learning,...

Image Processing and Machine Learning, Volume 1: Foundations of Image Processing

Cuevas, Erik, Rodríguez, Alma Nayeli

5.0 / 5.0

Колко ви харесва тази книга?

Какво е качеството на файла?

Изтеглете книгата за оценка на качеството

Какво е качеството на изтеглените файлове?

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.

Категории:

Computers - Artificial Intelligence (AI)

Година:

2024

Издание:

1

Издателство:

Chapman and Hall/CRC

Език:

english

Страници:

210

ISBN 10:

1003287417

ISBN 13:

9781003287414

Файл:

PDF, 4.93 MB

IPFS:

,

english, 2024

Четете Онлайн

Преобразуването в се извършва

Преобразуването в е неуспешно

Може да се интересувате от

Kutyniok, Gitta Eldar, Yonina C. — Compressed Sensing : Theory and Applications

Global, Emenwa & IfeanyiChukwu, Ejike — OPENCV | Python for Computer Vision

Håkan Blomqvist — 2D Computer Graphics in modern c++ and standard library

Ashish Kumar, Rachna Jain, Ajantha Devi Vairamani, Anand Nayyar, (eds.) — Object Tracking Technology: Trends, Challenges and Applications

Mark Liu — Machine Learning, Animated (converted)

Vere salazar — Python Machine Learning: Using Scikit Learn, TensorFlow, PyTorch, and Keras, an Introductory Journey into Machine Learning, Deep Learning, Data Analysis, Algorithms, and Data Science

Pushpa Singh · Asha Rani Mishra · Payal Garg — Data Analytics and Machine Learning

Stuart Russell, Peter Norvig — Artificial Intelligence: A Modern Approach

Yevgeniy V. Galperin — An Image Processing Tour of College Mathematics

Sedat Akleylek, Besik Dundua — Handbook of Formal Analysis and Verification in Cryptography

Sudha Challa; et al — Fundamentals of object tracking

Aaraur Paaskar, Ārūr Pāskar, Muthaiah Rajappa, Shriram K. Vasudevan, T. S. Murugesh — Digital Image Processing

Nidhi Gupta — Applications of Optimization and Machine Learning in Image Processing and IoT

Esteban Tlelo-Cuautle, Jose Martinez-Carranza, Everardo Inzunza-Gonzalez, Enrique Efrén García-Guerrero — Machine Learning For Complex And Unmanned Systems

Karm Veer Arya & Ciro Rodriguez Rodriguez & Saurabh Singh & Abhishek Singhal — Artificial Intelligence and Machine Learning Techniques in Image Processing and Computer Vision

Bhowmik, Mrinal Kanti, — Computer Vision: Object Detection In Adversarial Vision

Ashish Kumar — Visual Object Tracking using Deep Learning

Umbaugh, Scott E — Digital Image Processing and Analysis: Computer Vision and Image Analysis

SCOTT E. UMBAUGH — Digital Image Processing and Analysis: Digital Image Enhancement, Restoration and Compression

Srikanta Mishra — Machine Learning Applications in Subsurface Energy Resource Management: State of the Art and Future Prognosis

David Báez-López & David Alfredo Báez Villegas — Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning

Prateek Singhal, Abhishek Verma, Prabhat Kumar Srivastava, Ram Kumar, Virender Ranga — Image Processing and Intelligent Computing Systems

Cuevas, Erik, Rodríguez, Alma Nayeli — Image Processing and Machine Learning, Volume 1: Foundations of Image Processing

Anitha S. Pillai, Roberto Tedesco, (eds.) — Machine Learning and Deep Learning in Natural Language Processing

David Matuszek — Quick Java

Yinpeng Wang, Qiang Ren — Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems

Tariq M. Arif, Adilur Rahim — Deep Learning for Engineers

Uzair Aslam Bhatti, Huang Mengxing, Jingbing Li, Sibghat Ullah Bazai, Muhammad Aamir, (eds.) — Deep Learning for Multimedia Processing Applications: Volume Two: Signal Processing and Pattern Recognition

Erik Cuevas, Alma Nayeli Rodríguez — Image Processing and Machine Learning, Volume 2: Advanced Topics in Image Analysis and Machine Learning

Douglas J. Santry — Demystifying Deep Learning

James Chen — Learn OpenCV with Python by Examples: Implement Computer Vision Algorithms Provided by OpenCV with Python for Image Processing, Object Detection and Machine Learning

James Chen — Learn OpenCV with Python by Examples

A.Srinivasan — Handbook of Research on Computer Vision and Image Processing in the Deep Learning Era

Amita Nandal, Liang Zhou, Arvind Dhaka, Todor Ganchev, Farid Nait-Abdesselam, (eds.) — Machine Learning in Medical Imaging and Computer Vision

Sheldon Axler — Linear Algebra Done Right

Stan Z. Li, Anil K. Jain, Jiankang Deng — Handbook of Face Recognition: The Deep Neural Network Approach, 3rd Edition

Pancham Shukla (editor); Rajanikanth Aluvalu (editor); Shilpa Gite (editor); Uma Maheswari (editor) — Computer Vision: Applications of Visual AI and Image Processing

Gopi Krishna Nuti — Neural Network Computer Vision with OpenCV 5

Gyanendra Verma, Rajesh Doriya — Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing

Frank Columbus — Building Intelligent Systems Using Machine Learning and Deep Learning: Security, Applications and Its Challenges

Chris Solomon & Toby Breckon — Fundamentals of Digital Image Processing

Oge Marques — PRACTICAL IMAGE AND VIDEO PROCESSING USING MATLAB

Най-често използвани термини

Свързани списъци с книги