Image Processing - Basics

Caution

This application and its documentation website are still works in progress

Image Processing is a complete set of tutorials to learn the basics of image processing for machine vision systems.

Fig. 1 Example of machine vision system to detect edges and shape of pieces.

Throughout these tutorials, we will use Python and OpenCV. Some examples in C++ language will also be given.

Note

To refresh your memory, discover these two sets of tutorials:

• Python for Science.

• C++ language / Bascics

The GitHub repository of this project : Image Processing

Images

• Digital Images
• Python and images
• OpenCV basic operations

Basic transforms

• Blur filter
• Erosion, dilation
• Opening, closing

Sharpening (Laplacian, Unsharp)

Edge detection (Sobel, Canny)

Median blur

Custom (cv2.filter2D)

Projects based on image processing

• Machine Vision platform

About the LEnsE

The Experimental Teaching Laboratory (LEnsE, for Laboratoire d’ENSeignement Expérimental) is a major structure of the Institut d’Optique engineering school. It offers remarkably strong training that contributes 25% of the total curriculum. It is an impressive structure where students have access to a large diversity of material and human resources to be able to gain the skills to become excellent experimenters recognized in their field.