Value of image information categories and its importance for development and application of digital image processing systems
Autor: | U. Wieczorek |
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Rok vydání: | 2002 |
Předmět: |
Value (ethics)
business.industry Scale (chemistry) Pattern recognition Texture (music) Edge detection Digital image Image texture Mathematics::Category Theory Computer Science::Computer Vision and Pattern Recognition Digital image processing Computer vision Artificial intelligence business Reduction (mathematics) Mathematics |
Zdroj: | ICIP (2) |
DOI: | 10.1109/icip.1996.560933 |
Popis: | The values of the information categories "density", "texture" and "contour" correlates with the information loss caused by the reduction of the image scale. For large scales the information loss of the category "density" is greater than the information loss of the categories "texture" and "contour". This is reverse for small scales. For different amounts of density ranges an estimation of scale numbers is done for which this reverse case is valid. |
Databáze: | OpenAIRE |
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