Abstract: A method for monitoring a region of a body surface includes recording at a first time a first multispectral digital image of the surface including the region, recording at a subsequent time a subsequent multispectral digital image of the surface including the region, and comparing the first and the subsequent images. Also, such a method in which the first and subsequent images are high magnification images, and further including recording low magnification images that include the high magnification images. Also, a method for forming a diagnostically useful classification of pigmented skin lesions includes using such a method to construct a database containing quantitatively extracted selected features from images recorded from a plurality of skin lesions, and correlating the features from each such lesion in the database with the medical history of the skin lesion from which the image was recorded.

Abstract: An apparatus and method for facilitating the positioning of a live image with respect to a reference image in which the live and reference images are combined to produce a composite image that is displayed.

Abstract: A method for spectrally-enhancing images of a body surface includes the step of increasing the Saturation values of each pixel in the image. The methods increase the sensitivity with which a human observer can detect certain reflected wavelengths. Where the body surface is skin, for example, the method can be used to detect melanoma or other conditions where there is a deep dermal pigment characterized by a visible blue backscatter, or to detect the visible red backscatter characteristic of erythema. Also, apparatus for spectrally-enhancing images of a body surface includes means for color imaging the surface, means for increasing the saturation of the color in that image, and means for displaying the color-saturated image.

Abstract: This invention relates to an improved apparatus and method for in vivo monitoring of visually accessible surfaces of the body. The invention synthesizes methods of systems identification and computer vision to quantify and/or classify features of surface or subsurface anatomic, physiologic, or pathologic structures or processes. Such is accomplished by the stimulation of anatomic surfaces with light (visible, infrared, and/or ultraviolet, structured or uniform), followed by the quantitative analysis of digital images (multiresolution, multiview, and/or multispectral) of reflected or emitted light from the surface of interest.