Segmentation and Surveying of Cutaneous Hemangiomas
نویسندگان
چکیده
This paper presents an automatic method for the surveying of cutaneous hemangiomas by means of a fully automatic hemangioma segmentation and a ruler visible in the images to be examined. The spatial resolution of the images is determined by computing the maximum Euclidean distance between two marks of the ruler. The segmentation of regions belonging to the hemangioma is accomplished with a pre-segmentation based on a perceptron followed by a postprocessing step where regions with untypical properties are rejected. On a test set of 29 images the segmentation algorithm achieved a false positives rate of 15.5 % and a false negatives rate of 13.1 %.
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