Skin is arguably the most widely used primitive in human image processing research and computer vision with application ranging from face detection and person tracking to pornography filtering. It has proven to be useful and robust cue for detecting human parts in images since (i) it is invariant to orientation and size (ii) it gives extra dimension compared to gray scale methods and (iii) it i...

We present in this report an approach to automatic detection of human faces in color images. The proposed approach consists of three parts: a human skin segmentation to identify probable regions corresponding to human faces; adaptive shape analysis to separate isolated human faces from initial segmentation results; and a view-based face detection to further identify the location of each human f...

In this paper, we present an approach to skin detection in images, which labels each pixel as skin or nonskin based on a simple probabilistic model acquired from a database of manually labeled images. We tested several variations of this approach (using different color spaces and pre-processing techniques) and the achieved accuracy seemed quite encouraging with, a detection rate of 77,79%.

Early stage detection of melanoma (one of the most common cancers today) is of major significance for increasing chances of long term survival of affected patients. Over the last decade there have been developments in skin diagnostics, facilitated by the use of technologies such as Total Body Photography (TBP), which provide a complete record of the skin, and by the development of applications ...

Detection of human skin in an arbitrary image is generally hard. Most color-based skin detection algorithms are based on a static color model of the skin. However, a static model cannot cope with the huge variability of scenes, illuminants and skin types. This is not suitable for an interacting robot that has to find people in different rooms with its camera and without any a priori knowledge a...

Background: Though people of color (POC) are less likely to become afflicted with skin cancer, they are much more likely to die from it due to delay in detection or presentation. Very often, skin cancer is diagnosed at a more advanced stage in POC, making treatment difficult.The purpose of this research was to improve awareness regarding skin cancers in people of color by providing recommendati...

Skin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depen...