Image Processing Onramp

Offered By: MathWorks via MATLAB Academy

Tags

Digital Image Processing Courses MATLAB Courses Computer Vision Courses Image Classification Courses Image Processing Courses

Course Description

Overview

Introduction: Familiarize yourself with image processing concepts and the course.
Working with Images in MATLAB: Import, display, and manipulate color and grayscale images.
Segmenting an Image: Create binary images by thresholding intensity values.
Pre- and Postprocessing Techniques: Improve image segmentation using common pre- and postprocessing techniques.
Classification and Batch Processing: Develop a metric to classify an image, and apply that metric to a set of image files.
Conclusion: Learn next steps and give feedback on the course.

Syllabus

Course Overview
Getting Images into MATLAB
Grayscale and Color Images
Contrast Adjustment
Working with Images Interactively
Course Example - Photos of Receipts
What is Segmentation
Thresholding Intensity Values
Working with Binary Images
Improving Segmentation
Filtering Noise
Background Subtraction
Binary Morphology
Developing a Metric for Receipt Detection
Batch Processing with Image Datastores
Course Example - Extract Images Containing Receipts
Additional Resources
Survey

Taught by

Erin Byrne

Related Courses

Scientific Computing
University of Washington via Coursera Dynamical Modeling Methods for Systems Biology
Icahn School of Medicine at Mount Sinai via Coursera Elements of Structures
Massachusetts Institute of Technology via edX Analyse numérique pour ingénieurs
École Polytechnique Fédérale de Lausanne via Coursera Dynamics
Massachusetts Institute of Technology via edX