Educational guide School of Engineering |
english |
Bachelor's Degree in Computer engineering (2010) |
Subjects |
COMPUTERIZED VISION |
Contents |
IDENTIFYING DATA | 2017_18 |
Subject | COMPUTERIZED VISION | Code | 17234217 | |||||
Study programme |
|
Cycle | 1st | |||||
Descriptors | Credits | Type | Year | Period | ||||
6 | Optional | 2Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Topic | Sub-topic |
Tema 1.- Introduction | Concept and objectives of Computer Vision. Image acquisition. Levels of image processing. |
Tema 2.- Image formation. | Geometric foundations: mathematical representation of an image, basic geometric transformations, perspective transformation, parallel transformation. Illumination techniques. Color. Charge-coupled device: camera model, lens focus and perception, stereoscopic vision. |
Tema 3.- Preprocessing techniques. | Basic relationships between pixels. Spatial domain. Frequency domain. Filtering techniques: normalization, equalization, smoothing, edge detection. |
Tema 4.- Representation techniques. | Segmentation: detection of borders, thresholding, region growing, split and merge. Feature Extraction. |
Tema 5.- Description and recognition techniques. | Description: border descriptors, region descriptors. Recognition. Interpretation. |
Tema 6.- Computer vision applications. | Industrial applications: inspection, quality control. Medical applications. Office applications. |