Simulation or Simulink?

To perform image processing and image classification, simulation and simulink which one is better?

And why?

Answer 1

[Prateek Rai]

Simulation is a process of running models, reviewing results and validating system behavior and Simulink is a block diagram environment for multidomain simulation and Model-Based Design.

To perform image processing and image classification you can use image processing toolbox in MATLAB which provides a comprehensive set of reference-standard algorithms and workflow apps for image processing, analysis, visualization, and algorithm development.

You can refer to Getting-started-with-simulink MathWorks documentation page to find more on Simulink. You can also refer to Image processing Toolbox page to find more on Image processing toolbox in MATLAB.

[TAN HOR YAN]

But simulink also can perform image processing, since they have the computer vision toolbox.

[Prateek Rai]

Again Computer Vision Toolbox is a product provided by MATLAB. Simulink is integrated with MATLAB, enabling you to incorporate MATLAB algorithms into models and export simulation results to MATLAB for further analysis.

Answer 2

[Jonas]

I believe you want to compare performing image processing and classification using a MATLAB script or using a Simulink model.

Using a MATLAB script, the goal is typically to process the images as fast as your computer can. You have input data, and you want to know the result (for example, classified images).

Using a Simulink simulation model, the goal is typically to develop a controller that can process the images in real-time. You do not provide it all input data at once, but the model samples input data from a camera for example. It processes the images from the camera and outputs results (for example, classified frames).