Abstract
There have been several approaches to the classification of texture in images. Most approaches will take certain local attributes or features into account and base the classification on these measures. In here we demonstrate the use of a
statistical approach to separate the structure and texture background present in images. Modelling is based on normal images which only contain a texture background. The resulting model is applied to images which contain abnormal image structures as well as a normal texture background. Especially for mammographic (and other medical application) this can provide useful information which can be used as a pre-processing tool to obtain the structures present in the image and at the same time get a robust classification of the background texture.
statistical approach to separate the structure and texture background present in images. Modelling is based on normal images which only contain a texture background. The resulting model is applied to images which contain abnormal image structures as well as a normal texture background. Especially for mammographic (and other medical application) this can provide useful information which can be used as a pre-processing tool to obtain the structures present in the image and at the same time get a robust classification of the background texture.
Original language | English |
---|---|
Number of pages | 10 |
Publication status | Published - 13 Sept 1999 |
Externally published | Yes |
Event | 10th British Machine Vision Conference 1999 - University of Nottingham, Nottingham, United Kingdom of Great Britain and Northern Ireland Duration: 13 Sept 1999 → 16 Sept 1999 Conference number: BMVC 99 |
Conference
Conference | 10th British Machine Vision Conference 1999 |
---|---|
Country/Territory | United Kingdom of Great Britain and Northern Ireland |
City | Nottingham |
Period | 13 Sept 1999 → 16 Sept 1999 |