Automating Image Processing
Learn to automate image processing workflows and analyze large datasets of images and videos using MATLAB.
Learn to automate image processing workflows and analyze large datasets of images and videos using MATLAB.
This advanced course teaches automation techniques for processing large image and video datasets. Students learn batch processing, video analysis, and automated result verification. The curriculum includes practical projects in traffic monitoring, with emphasis on car detection in noisy video data and statistical analysis of results.
4.9
(15 ratings)
4,345 already enrolled
Instructors:
English
Powered by
What you'll learn
Process large image datasets efficiently
Analyze video files systematically
Automate result verification
Detect objects in noisy videos
Implement batch processing workflows
Perform statistical analysis
Skills you'll gain
This course includes:
41 Minutes PreRecorded video
8 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course focuses on automating image processing workflows for large-scale applications. Through four modules, students learn batch processing techniques, video file handling, and automated analysis methods. The curriculum culminates in a practical project detecting and analyzing vehicles in traffic video footage.
Processing Batches of Images
Module 1 · 3 Hours to complete
Working with Video Files
Module 2 · 1 Hours to complete
Analyzing Results
Module 3 · 54 Minutes to complete
Final Project: Detecting Cars in a Noisy Video
Module 4 · 7 Hours to complete
Fee Structure
Instructors
Online Course Developer at MathWorks
Amanda Wang is an Online Course Developer at MathWorks, specializing in creating educational content related to MATLAB and its applications in computer vision and deep learning. She holds dual Bachelor's degrees in Mathematics with Computer Science and Business Analytics from the Massachusetts Institute of Technology (MIT), which she completed in 2020. Currently, Amanda is pursuing a Master’s degree in Computer Science from the University of Illinois Urbana-Champaign.
Senior Online Content Developer at MathWorks
Matt Rich is a Senior Online Content Developer at MathWorks, where he specializes in creating educational materials related to MATLAB and its applications in engineering and data science. He holds both a PhD and an MS in Electrical Engineering from Iowa State University. His doctoral research focused on developing new methods for designing control systems over networks that experience communication interruptions due to random processes. His master's research involved system identification and robust control methods tailored for small unmanned aerial vehicles (UAVs) with uncertain physical parameters.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.