Application of static gesture segmentation based on an improved canny operator

Abstract

In order to meet the requirements of gesture extraction in static gesture segmentation, this study proposes to improve the traditional Canny operator by using a combined filtering method and an adaptive threshold algorithm. The original image is firstly denoised by bilateral filtering, and then the elliptical skin model is used to select the colour domain, and the domain is divided into blocks. The hand is separated according to the block domain feature. Finally, an improved Canny operator with an adaptive threshold is used to extract the interactive hand contour. Experiments show that it has high accuracy in simple static gesture segmentation.