Class Image Processing

This curricular unit aims to dedicate to image processing as a source of greater sensory sysem. Here are presented the various technologies of image sensors, image capture and are studied the various methods of image processing and information extraction. In the practical component it will be developed an image processing application, which will use some of the methods learned during the semester to solve a practical problem that will be proposed, using OpenCV library with c# programming language. There will also be given some notions of introduction to Artificial Intelligence applied to the images.

Not applicable

1. Image processing from pixels to features; 2. Operations over images; 3. Segmentation; 4. Object detection; 5. Feature extraction; 6. Measures; 7. Analysis of applications.  

The set of topics being taught puts the emphasis in the key aspects that were identified in the course objectives. On the other hand, the strong practical component of this course encourages the development of algorithms and the use of the programming language, while it stimulates problem solving using a computer.

1- Digital Image Processing. Rafael Gonzalez, Paul Wintz. Addison-Wesley 2- Image Analysis: principles and practice, pp. 36 a 36 e 106 a 117. Joyce-Loebl 3- Digital Image Processing and Computer Vision, pp. 130 a 173. Robert Schalkoff 4- Computer Graphics - Principles and Practice, pp. 550 a 555. Foley, van DAM, Feiner, Hughes. Addison-Wesley