Digital Image Processing

Matlab based Digital Image Processing

3.40 (19 reviews)
Udemy
platform
English
language
Other
category
instructor
Digital Image Processing
98
students
5 hours
content
Aug 2020
last update
$29.99
regular price

What you will learn

Digital Image Processing

Matlab based Digital Image Processing

Description

In this course you will learn Digital Image Processing. Digital image processing is the use of a digital computer to process digital images using well developed techniques. Digital Image processing allows a much wider range of algorithms to be applied to the image. The problems such as the build-up of noise and distortion during processing can be closely monitored and kept under control which had long plagued analog image processing. 

Digital Image processing is subfield of digital signal processing. The development of this field of digital image processing is mainly affected by three factors:

1- The development of computers

2- The development of mathematics  and especially the refinement in the field of discrete mathematics theory.

3- The demand for a wide range of applications in industry, military, aerospace, environment, agriculture, and medical science has dramatically increased.

In 1960s most of the techniques of digital image processing then called digital picture processing were developed, at Bell Laboratories, the Jet Propulsion Laboratory, Massachusetts Institute of Technology, University of Maryland, and a few other research facilities. Mostly the application was to satellite imagery, wire-photo standards conversion, medical imaging, videophone, character recognition, and photograph enhancement. So much for the history lets focus on this course.

In this course initially the fundamental concepts are taught including the origin of digital image processing, image sensing and acquisition, sampling and quantization, intensity resolution and spatial resolution. 

Gradually this course leads to more in-depth topics such as intensity transformation and spatial filtering, segmentation, color image processing.


Content

Introduction

Introduction
Lecture 2 Fundamental Steps in Digital Image Processing
Digital Image Processing Fundamentals part 1
Digital Image Processing Fundamentals part 2
Digital Image Processing Fundamentals part 3
Spatial and Intensity Resolution, Concept of Interpolation

Intensity Transformations and Spatial Filtering

Intensity Transformations and Spatial Filterin - Background
Some Basic Intensity Transformation Functions
Piece-wise Linear Transformations
Histograms
Spatial Filtering

Color Image Processing

Color Models

Morphological image Processing

Basics
Erosion and Dilation

Image Segmentation

Segmentation

Reviews

Tanausu
November 4, 2021
The sound of the video and the quality of explanations are very poor. It seems sometime the instructor is just reading the text book
M.Farjaam
January 6, 2021
This course is pretty much satisfying and extraordinary Completely filled with knowledge and advancement.

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3345740
udemy ID
7/19/2020
course created date
8/21/2020
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