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Image Processing and Analysis

10,000.00

( 0 Review )

Course Level

Intermediate

Total Hour

180h

Video Tutorials

17

Course content

180h

Week 1-2: Introduction to Image Processing and Analysis

Overview of image processing and analysis
Basic principles of image formation and representation
Image I/O and display in MATLAB or Python

Week 3-4: Image Enhancement

Week 5-6: Image Segmentation

Week 7-8: Morphological Image Processing

Week 9-10: Feature Extraction and Description

Week 11-12: Advanced Topics and Project Work

About Course

In this introduction to image processing, you’ll take your first steps in accessing and adjusting digital images for analysis and processing. You will load, save, and adjust image size and orientation while also understanding how digital images are recognized. You will then perform basic segmentation and quantitative analysis. Lastly, you will enhance the contrast of images to make objects of interest easier to identify.

By the end of the course, you’ll apply your segmentation skills to identify regions of interest, such as the amount of surface water from satellite images. This introduction to image processing will give you the foundation you need to conduct more advanced work on this topic. You will use MATLAB throughout this course. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your image processing tasks. You will be provided with free access to MATLAB for the duration of the course to complete your work. To be successful in this course you should have a background in basic math and some exposure to MATLAB. If you want to familiarize yourself with MATLAB check out the free, two-hour MATLAB Onramp. Experience with image processing is not required.

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

Instructor

JG
0 /5

21 Courses

AG
4.44 /5

78 Courses

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Material Includes

  • Live Classes
  • 100% Online Course
  • Hands-on Project
  • Shareable Certificate

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