Abstract: An image (300) comprising a plurality of image elements defined by a first set of vectors in a first color space is enhanced by calculating a principal component transform from the image elements (step 830). The image (300) is converted (step 310) to a second color space such as HSI wherein the image elements are defined by a second set of vectors having an intensity component. A principal component value is calculated for each of the image elements using the principal component transform, and the intensity component of the second set of vectors is replaced (step 840) with the principal component value to produce an enhanced image. The enhanced image may be converted back to the first color space for display on a suitable display device.

Abstract: A method of quantifying the extent of erythema around a wound of a patient is disclosed. An image (200) is captured that includes the wound, the erythema and surrounding skin. A border of the wound is identified (step 232) and a distance transform is performed (step 234) on an area of the image between the wound border and a boundary of the image to determine bands of pixels (226, 228, 230), wherein the pixels within each band are equidistant from the wound border. A representative value such as average brightness is calculated for each band (step 238), and a threshold level is defined relative to the representative value of the surrounding skin (step 240). The extent of the erythema is then calculated.

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).

Abstract: A method of quantifying the extent of erythema around a wound of a patient is disclosed. An image (200) is captured that includes the wound, the erythema and surrounding skin. A border of the wound is identified (step 232) and a distance transform is performed (step 234) on an area of the image between the wound border and a boundary of the image to determine bands of pixels (226,228,230), wherein the pixels within each band are equidistant from the wound border. A representative value such as average brightness is calculated for each band (step 238), and a threshold level is defined relative to the representative value of the surrounding skin (step 240). The extent of the erythema is then calculated.

Abstract: An image (300) comprising a plurality of image elements defined by a first set of vectors in a first colour space is enhanced by calculating a principal component transform from the image elements (step 830). The image (300) is converted (step 310) to a second colour space such as HSI wherein the image elements are defined by a second set of vectors having an intensity component. A principal component value is calculated for each of the image elements using the principal component transform, and the intensity component of the second set of vectors is replaced (step 840) with the principal component value to produce an enhanced image. The enhanced image may be converted back to the first colour space for display on a suitable display device.