Objective A growing body of literature reveals that skin color has significant effects on people's income, health, education, and employment. However, the ways in which been measured empirical research have criticized for being inaccurate, if not subjective biased. Introduce an objective, automatic, accessible customizable Classification Algorithm Skin Color (CASCo). Methods We review methods t...

The automated detection of humans in computer vision as well as the realistic rendering of people in computer graphics necessitates a better understanding of human skin reflectance. Prior vision and graphics research on this topic has primarily focused on images acquired with conventional color cameras. Although tri-color skin data is prevalent, it does not provide adequate information for expl...

Skin cancers are often misdiagnosed or diagnosed late in skin of color (Fitzpatrick types 4-6) resulting increased morbidity and mortality. Rare such as Eccrine Porocarcinoma (EPC), which accounts for 0.005% to 0.01% all epidermal neoplasms, even less likely be accurately color. is Squamous cell carcinoma (SCC), Basal Cell Carcinoma (BCC), melanoma, seborrheic keratosis. The paucity case report...

Skin recognition is used in many applications ranging from algorithms for face detection, hand gesture analysis, and to objectionable image filtering. In this work a skin recognition system was developed and tested. While many skin segmentation algorithms relay on skin color, our work relies on both skin color and texture features (features derives from the GLCM) to give a better and more effic...

With the spreading of the ubiquitous computing; a growing demand for vision based recognition and communication. The first step in the latter demand is the segmentation process. Pixel based segmentation techniques have been widely used in the field of pattern recognition. The actual information that can be extracted from pixel based techniques is the color. In this work statistical technique ba...

In this paper, we propose a novel approach for robust skin segmentation and face similarity measure. The proposed skin segmentation is a method for integrating the chrominance components of well-known color models. The goal of the method of skin detection is to select the appropriate color model for verifying the skin pixel under different lighting conditions and various types of skin color. Th...

The cosmetic industry has witnessed significant growth in recent years. Conventional hand-held skin cameras allow for 2D inspection of the skin surface. This paper proposes a new model for full-color 3D imaging of the skin tissue using fiber-based optical coherence tomography (OCT). Compared to laser or LD sources, RGB LED was found more suitable and thus chosen in the low-coherence interferome...

One of the most important aspects of a good image is that the subject looks good. It is therefore our objective, when building an automatic image enhancement system, to optimize the appearance of the image subject(s). Moreover, people often have specific preferences regarding the look of different objects. Grass, for example, is considered prettier when green and with sharp texture, while skin ...