MATLAB: Image Processing in MATLAB

Name: MATLAB: Image Processing in MATLAB
Author: Gabriel Popoola

Expand your image processing skills and knowledge

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Course: On-Demand

Hello, my name is Gabriel Popoola, and this is the module on image processing in MATLAB. During this module, we're gonna cover image processing overview and images in MATLAB, image types, and the image processing toolbox. During this lesson, I'm gonna go over what image processing is, as well as what images are, and some image properties. So the first thing I'm gonna do is discuss image processing. And image processing or digital image processing is the use of computer algorithms to create, process, communicate, and display digital images. Digital image processing algorithms can be used to convert signals from an image sensor into digital images, improve clarity, and remove noise and other artifacts, extract the size, scale, or number of objects in a scene, prepare images for display or printing, or compress images for communication across a network. In MATLAB, an image is simply a graphical representation of a matrix. Images can be represented as arrays, and arrays can be represented as images. And so now I'm just going to create an image from a matrix, and the first thing I'm gonna do is generate a random matrix ranging from zero to 256, that is 20 by 20. And so I'm gonna call this matrix A, and set it equal to randi 256, 20. And now what I have is a MATLAB array that is a 20 by 20 double. And to convert it to an image and we're just gonna call it image A, we can just cast it. So image A is equal to image and A. And now it generates this figure with different colored squares that are representative of the different integers. So now I'm gonna go into some image properties. Now, image properties can be referenced using dot notation. So, for example, if I want to store the colors and the variable called C, I can do image A dot C data. And so now I have a 20 by 20 double, but this double has a set of values representative of the colors. And to see if or how they differ, I'm just going to print out A. And I want row one, every column. And then I'm going to do the same thing for C. And because the range of values that I was using was from zero to 256, which is really true color, you could look at it as these values are the same. In addition to that, you can look at the C data mapping or the color data mapping method. And to do that, we can just do image A dot C data mapping, and it's using direct. And direct means it interprets the values as indices into the current color map. Values with the decimal portion are fixed to the nearest lower integer. There's also the transparency data, and so we can do image A dot alpha data, and that returns a one. And so if it's a scalar, that means there's a consistent transparency across the entire image. However, if this was an array that was the same size as the data, that would mean that there's a different transparency for each value in the element. And in addition to that, there's a number of other properties such as alpha, data mapping, interpolation. You have position and interactivity properties. You have callbacks and callback execution control. And lastly, you have your parent-child properties, identifiers. And this concludes this lesson. If you'd like to learn more about the different properties of images, you can type in image properties in your documentation search to look at that page. Thank you.

Advanced Provider : Gabriel Popoola 3 Lessons · 15m in Arabic, German, English, Spanish, French, Portuguese, Chinese

Course Description

During this lesson, we’ll go over what image processing is as well as what images are in some image properties. Image processing entails a wide range of tasks, functions, and algorithms. Digital image processing algorithms can convert signals from an image sensor into digital images. Some of these are more extensive and complex than others. It can also be used to improve clarity, remove noise, sharpen, join, artifacts, and do many other things to images in order to make them more useful for you.

In this MATLAB module, you will learn about image processing in MATLAB and how to utilize the image processing toolbox for your various image processing needs. We’ll discuss how the data matrix is simply the matrix containing the values for each pixel in the image.

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 digital image processing is and what images are
Identify image properties and the different image types in MATLAB
Understand how image processing is built into MATLAB
Locate the tools, functions, and apps within the MATLAB Image Processing Toolbox
Apply image processing techniques such as improving clarity, removing noise, and sharpening images
Use image processing skills for projects and tasks involving image analysis

Key Takeaways

Image processing entails a wide range of tasks, functions, and algorithms, some more extensive and complex than others.
Digital image processing algorithms can convert signals from an image sensor into digital images.
Image processing can be used to improve clarity, remove noise, sharpen, join, and address artifacts to make images more useful.
The data matrix is simply the matrix containing the values for each pixel in an image.
Image analysis skills can be useful in any area where images and video are important, including art, television, and film.

Frequently Asked Questions

What will I learn in this MATLAB image processing module?

You will learn about image processing in MATLAB and how to utilize the Image Processing Toolbox for your various image processing needs, including defining digital image processing, understanding how it is built into MATLAB, and finding the tools, functions, and apps in the toolbox.

What topics does this course cover?

The course covers an image processing overview and images in MATLAB, image types, and the Image Processing Toolbox.

What can I do after completing this module?

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

What skills does this course help build?

This course helps build skills in digital image processing, image analysis, image segmentation, MATLAB, signal processing, and video processing.