| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| COMPUTERIZED VISION |
| Contents |
| IDENTIFYING DATA | 2019_20 |
| Subject | COMPUTERIZED VISION | Code | 17234217 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | |||||||
| 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. |
