Image Processing for Engineers | 57.96 MB
Title: root.dvi
Author: Ulaby, Fawwaz; Yagle, Andrew E.
Category: Nonfiction, Reference & Language, Education & Teaching
Language: English | 438 Pages | ISBN: 1607854880
Description:
Image Processing, as a strong tool for labeling, classifying, renovating, and compacting images, helps us to extract information from image data. It converts the image to a signal or a matrix and applies signal processing or matrix management techniques.
There are several image-processing books available, but what exactly makes Image Processing unique is adding some assignments and projects. This book can be used as a course notebook and teaching in colleges. Since all images in the book have been taken by author Bahareh Rahmani’s camera, they are all unique. This book also includes all OpenCV codes that students need to know, so besides being an image-processing tutorial, it also teaches python programing.
About the Author
Dr. Bahareh Rahmani is an Associate Professor in the Health & Clinical Outcome Research Department of School of Medicine at Saint Louis University. She has taught twenty-five different data science, biostatistics, and Artificial Intelligence courses in the past eight years in five different college and universities.
Image Processing, as a strong tool for labeling, classifying, renovating, and compacting images, helps us to extract information from image data. It converts the image to a signal or a matrix and applies signal processing or matrix management techniques.
There are several image-processing books available, but what exactly makes Image Processing unique is adding some assignments and projects. This book can be used as a course notebook and teaching in colleges. Since all images in the book have been taken by author Bahareh Rahmani’s camera, they are all unique. This book also includes all OpenCV codes that students need to know, so besides being an image-processing tutorial, it also teaches python programing.
About the Author
Dr. Bahareh Rahmani is an Associate Professor in the Health & Clinical Outcome Research Department of School of Medicine at Saint Louis University. She has taught twenty-five different data science, biostatistics, and Artificial Intelligence courses in the past eight years in five different college and universities.
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