Static hand gesture segmentation: Comparison and selection of existing methods
This paper focus on the introduction and summary of static hand gesture segmentation methods. Starting with the research of image segmentation method and the development of hand gesture recognition, we illustrated the most popular methods in static hand gesture segmentation and their advantages and applicable scope in each image processing steps, by comparing different processing methods used in different stages of static hand gesture segmentation, for example calibrating image color, choosing color space, choosing a certain skin color model and using different post-processing scheme. Finally, the static gesture segmentation methods are summarized and prospected, The conclusion provided researchers with certain theoretical basis for choosing static hand gestures segmentation method, in turn lay a good foundation for subsequent gesture recognition works.