Skip to content
KnowledgeCity

MATLAB: Image Analysis in MATLAB

Start analyzing your images for more advanced manipulation and extraction
Preview the first lesson free — get full access to all 3 lessons.
Course: On-Demand
Advanced Provider Gabriel Popoola  3 Lessons ·  17m  in Arabic, German, English, Spanish, French, Portuguese, Chinese 

Course Description

The key goals of image analysis are object detection and isolation. There are two main categories of image analysis that are especially useful in MATLAB that image segmentation and object analysis. We’ll discuss in detail what Image analysis is, which it is the process of extracting meaningful information from images, such as finding shapes, counting objects, identifying colors, or measuring object properties. You’ll also go over segmentation, which is partitioning an image into parts or regions—nd this is often based on different characteristics of the pixels in an image, such as color or edges. MATLAB has a number of built-in functions and functionalities that make it easy to perform these and related tasks. In this MATLAB module, you will learn about image segmentation and object analysis as it relates to image analysis.

After completing this module, you will be able to apply what you learned to any project or task involving image analysis. This can be useful in any area where images and video are used with high importance. Specific areas and industries include art, television, and film.

What You'll Learn

  • Define and explain what image analysis is and how it extracts meaningful information from images
  • Identify objects and shapes in images using MATLAB
  • Apply image segmentation to partition an image into parts or regions based on pixel characteristics such as color or edges
  • Perform object analysis to detect, isolate, and measure object properties
  • Use MATLAB's built-in functions and functionalities to carry out image analysis tasks

Key Takeaways

  • Image analysis is the process of extracting meaningful information from images, such as finding shapes, counting objects, identifying colors, or measuring object properties.
  • The two main categories of image analysis covered in MATLAB are image segmentation and object analysis.
  • Segmentation partitions an image into parts or regions, often based on pixel characteristics such as color or edges.
  • MATLAB provides built-in functions and functionalities that make performing image analysis tasks easier.
  • Image analysis skills can be applied in any area where images and video are important, including art, television, and film.

Frequently Asked Questions

What does this MATLAB module cover?

This module covers image segmentation and object analysis as they relate to image analysis, including an image analysis overview, image segmentation, and object analysis.

What will I be able to do after completing this course?

After completing this module you will be able to apply what you learned to any project or task involving image analysis.

What is image segmentation in this course?

Image segmentation is partitioning an image into parts or regions, often based on different characteristics of the pixels in an image, such as color or edges.

In what fields is this image analysis training useful?

It is useful in any area where images and video are used with high importance, including art, television, and film.

What skills does this course build?

The course builds skills in Digital Image Processing, Image Analysis, Image Segmentation, MATLAB, Matrix Analysis, and Segmentation Analysis.