Introduction to Data, Signal, and Image Analysis with MATLAB
- 4.7
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Approx. 23 hours to complete
Course Summary
This course will teach you the fundamentals of image processing using MATLAB. You will learn how to perform operations such as image enhancement, restoration, segmentation, and feature extraction, all while gaining hands-on experience through practical projects.Key Learning Points
- Learn how to use MATLAB for image processing
- Gain practical experience through projects
- Master techniques such as image enhancement, restoration, segmentation, and feature extraction
Related Topics for further study
Learning Outcomes
- Ability to perform image enhancement, restoration, segmentation, and feature extraction using MATLAB
- Practical experience through projects
- Understanding of the fundamentals of image processing
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of MATLAB
- Basic understanding of digital signal processing
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
- Project-based
Similar Courses
- Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
- Digital Signal Processing
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Notable People in This Field
- MATLAB Image Processing Expert
- Computer Vision Expert
Related Books
Description
Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB!
Knowledge
- Learners will understand how signals, images, and data are represented and manipulated in MATLAB
- Learners will gain experience with methods for data visualization, including high dimensional datasets in MATLAB
- Learners will apply machine learning methods for data classification and prediction in MATLAB
- Learners will learn essential signal frequency analysis and image processing methods in MATLAB
Outline
- Introduction
- Introduction
- Syllabus
- How to Get MATLAB
- Data analysis in MATLAB
- Data Representation
- Statistical Data Analysis
- Data Visualization
- Dimensionality Reduction
- Data Classification
- Data Prediction
- Loading and Inspecting Datasets
- Detecting Outliers
- Histogram plots
- Scatter plots
- PCA
- Smartphone activity classifier
- Predicting Fuel Efficiency Using Regression Trees
- Predicting Fuel Efficiency Using Gaussian Process Regression
- Signal Analysis in Matlab
- Signals as Time Dependent Data
- Signal Interpolation
- Audio Analysis
- Convolution Filtering
- Signal Frequency Analysis
- Sampling and Aliasing
- Reverse Audio
- Spectrum plotting
- Filter Quality Analysis
- Image Analysis in Matlab
- Image Representation
- Image Resampling
- Image Intensity & Color Distributions
- Image Filtering
- Image Segmentation
- Cropping
- Color Images
- Motion
- Convex Hull
- Dilation and Erosion
- Final Project
- Final Project Specification
- Final note
Summary of User Reviews
Discover a comprehensive course on MATLAB Image Processing to enhance your skills and knowledge. This course has received high praises from students worldwide for its extensive coverage of image processing and its practical applications. Learn from experienced instructors and gain hands-on experience with real-world projects. One key aspect that many users appreciated was the clear and concise explanations provided throughout the course.Pros from User Reviews
- Thorough and in-depth coverage of image processing concepts and techniques.
- Well-structured course with real-world projects and practical applications.
- Experienced and knowledgeable instructors with clear and concise explanations.
- Great learning platform with interactive quizzes and exercises.
- Flexible schedule that allows learners to pace themselves and learn at their own convenience.
Cons from User Reviews
- Some users found the course challenging and difficult to follow at times.
- Limited support and feedback from instructors in some cases.
- Requires prior knowledge of MATLAB programming language.
- May not be suitable for beginners or those with limited experience in image processing.
- Some users found the course content to be too technical and detailed.
Jack Noble
4.7 Raiting
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