TRAINING
Course Focused on Image Processing with MATLAB
January–March 2027

Automated image processing allows data efficient data extraction evenon a modest computer. This course will teach the basic techniques for identifying objects in an image and measuring their properties. In addition, it is possible to characterize the temporal evolution of objects based on a video or a sequence of images.
Matlab will be used in the course, along with the image processing toolbox (the University of Navarra has licence). A laptop is required. If you wish, it is possible—with some effort on your part—to take the course using another software package, such as Python with the scikit-image package.
-Digital imaging. Basic concepts. Types of images. Colour representation. File manipulation. Formats. presentation. Overlays and transparency. Masks.
· Histograms and point operations.Image enhancement. Contrast and brightness. Equalization. Binarization. Selection and labeling of objects of interest. Color segmentation.
· Filters. Filtersand kernels (general concept). Smoothing. Edges. Filters in the frequency domain.
-Basic morphological operations. Structuring elements. Basic operations: erosion, dilation. Opening and closing. Detection of shapes.
· Segmentation and measurement of geometric properties.Watershed transform. Properties of regions of interest. data acquisition.
-Video. Tracking. Handling of image sequences. Photograms. Object tracking.
The course is aimed at students of doctorate of area of Sciences, professionals from the University of Navarra and CIMA, and professionals from outside the University of Navarra.
To registration the program, you must sign up at the following link, where you can apply for admission; once your application has been processed, you will be able to enrollment.
Rates:
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Ordinary: 720 euros
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Pif's Unav: 144 euros
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UN employees: 180 euros
Once you have passed the course you will obtain a certificate issued by the University of Navarra.

Admission dates: Application deadline: December 20, 2026.
Price: 720 euros.

