Image Segmentation for Human Skin Detection

Human skin detection is the main task for various human–computer interaction applications. For this, several computer vision-based approaches have been developed in recent years. However, different events and features can interfere segmentation process, such as luminosity conditions, tones, complex backgrounds, image capture equipment. In digital imaging, methods overcome these challenges or at least part of them. images analyzed follow an application-specific pattern. this paper, we present approach that uses a set to segment non-skin pixels from uncontrolled unknown environments. Our result ability non-restrained environment. Thus, it overcomes challenges, lighting compression, scene complexity. By applying segmented examination approach, determine proportion by considering only objects interest (i.e., people). addition, analysis generate independent information regarding each human body. The proposed solution produces dataset composed combination other datasets literature, which enables construction heterogeneous images.