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.
['Sebastian Zambanini', 'Georg Langs', 'Robert Sablatnig', 'Peter Donath', 'Harald Maier']
Automatic Surveying of Cutaneous Hemangiomas