Recently, the beauty industry has been evolving the multiple types of product developments or distribution and service models by the integration with IT. Especially, augmented reality (AR) with head mounted display (HMD) system is able to reflect various information of the real world by real-time image processing algorithm. Therefore, it is required to study the multiple utilizations such as medical diagnosis by image processing algorithm in the environment of AR HMD. This study aims at to suggest the ideas related to applications of image processing for skin diagnosis in the environment of AR HMD. To do so, the existing image processing algorithm was applied for the characteristics of AR HMD system and the diagnosis of skin spot. Median filtering to remove the noise, Otsu’s binarization to extract the skin characteristics and K-means for clustering in the skin diagnosis were applied. Then the image on the skin spot was made with threshold and the required information during the diagnosis was reflected and realized with AR HMD. Since the results of this study showed the application potential to the real-time skin diagnosis with AR HMD, this is anticipated to increase the utility of the diagnosis further.

augmented reality, head mounted display, skin surface analysis, medical image segmentation.