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Automatic Surveying of Cutaneous Hemangiomas
- Source :
- ICPR (1)
- Publication Year :
- 2006
- Publisher :
- IEEE, 2006.
-
Abstract
- This paper presents a method for the fully automatic surveying of cutaneous hemangiomas by means of a hemangioma segmentation and a ruler visible in the images. The algorithm computes the spatial resolution of an image. Hemangioma segmentation is accomplished by a single-layer perceptron classification by means of pixel color features. The algorithm was evaluated on a set of 120 images. It achieves satisfactory results on images with clearly visible, saturated hemangiomas.
- Subjects :
- Color image
business.industry
Computer science
Binary image
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Image segmentation
medicine.disease
Hemangioma
Image texture
Region growing
medicine
Computer vision
Segmentation
Artificial intelligence
business
Image resolution
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 18th International Conference on Pattern Recognition (ICPR'06)
- Accession number :
- edsair.doi...........679a786934fca01b21589d990a6ce34e
- Full Text :
- https://doi.org/10.1109/icpr.2006.309