Methods and systems for automatically generating a 
mask delineating a 
region of interest (ROI) within an image containing 
skin are disclosed. The image may be of an anatomical area containing 
skin, such as the face, neck, chest, shoulders, arms or hands, among others, or may be of portions of such areas, such as the 
cheek, 
forehead, or 
nose, among others. The 
mask that is generated is based on the locations of anatomical features or landmarks in the image, such as the eyes, 
nose, eyebrows and lips, which can vary from subject to subject and image to image. As such, masks can be adapted to individual subjects and to different images of the same subjects, while delineating anatomically standardized ROIs, thereby facilitating standardized, reproducible 
skin analysis over multiple subjects and / or over multiple images of each subject. Moreover, the masks can be limited to 
skin regions that include uniformly illuminated portions of skin while excluding 
skin regions in shadow or hot-spot areas that would otherwise provide erroneous feature analysis results. Methods and systems are also disclosed for automatically registering a skin 
mask delineating a skin ROI in a first image captured in one imaging modality (e.g., standard 
white light, UV light, polarized light, multi-
spectral absorption or 
fluorescence imaging, etc.) onto a second image of the ROI captured in the same or another imaging modality. Such registration can be done using linear as well as non-linear 
spatial transformation techniques.