Introduction to Image Sensing and Processing

Lecturer(s): Mohsen ARDABILIAN, David NAVARRO
Course ⋅ 16 hAutonomy ⋅ 8 hStudy ⋅ 8 h


This course aims to introduce concepts and basic techniques on the acquisition of images, the structure of conventional sensors and image processing. It covers the foundations and addresses the principles of image formation, image processing, feature extraction and segmentation of images, and motion tracking. The course will cover concepts such as sensor structure (CCD / CMOS), image structure, spatial and frequency analysis of images, image descriptors (shape, contour, etc.), segmentation (point, contours, lines, etc.) and motion tracking. There are many applications, such as medicine, quality control, artificial vision, satellite imagery, etc.


image formation, spatial and frequency filtering of images, contour detection, segmentation of images (point, line, etc.), image descriptors (shape, contour, etc.), image segmentation, motion tracking


• Imaging (cameras, radiometry, colors) • Phototransduction, sensor structure • Image structure, quantification, noise • Spatial analysis (manipulation of the histogram, the gradient and the Laplacian) • Frequency analysis • Morphology • The segmentation of images (detection of points, contour) • Representation and description (form, texture, signature, etc.) • Motion analysis and tracking (Kalman filter)

Learning Outcomes

  • At the end of this UE the student must be able to understand the process of the formation of digital images
  • He will also be able to make use of fundamental techniques for improving and processing digital images


Final mark = 30% knowledge + 70% know how mark on knowledge = 100% written test mark on know how = 50% lab work 1 + 50% lab work 2