Abstract: An image (502) of an area of skin that includes a lesion (304) is captured. An annular variance test is performed on pixels around the lesion (304) (step 514). Based on the results of the annular variance test, either a seeded region growing method (step 516) or a colour clustering method (step 520) is applied to the image (502) to calculate a boundary of the lesion (304). The colour cluster method may produce multiple selectable boundaries. Provision is also made for a lesion boundary to be manually traced (step 522).

Abstract: An automated dermatological examination system captures an image including a lesion. The image is divided into lesion and non-lesion areas, and the lesion area is analysed to quantify features for use in diagnosis of the lesion. Features of lesion colour are extracted (step 502) and the shape of the lesion is analysed (step 504). Features of lesion texture and symmetry are derived (step 506) as are measures of categorical symmetry within the lesion (step 508).