Application of static gesture segmentation based on an improved canny operator. Issue 15 (22nd February 2019)

• Record Type: Journal Article
• Authors: Gong, Shenjian; Li, Guangqiang; Zhang, Yongju; Li, Changdi; Yu, Lei
• Is Part Of: Journal of engineering. Volume 2019:Issue 15(2019)
• Page Start: 543
• Page End: 546
• Publication Date: 2019-02-22
• Subjects: image denoising -- feature extraction -- image segmentation -- edge detection -- gesture recognition -- image colour analysis; simple static gesture segmentation -- improved canny operator -- gesture extraction -- traditional Canny operator -- combined filtering method -- adaptive threshold algorithm -- bilateral filtering -- elliptical skin model -- colour domain -- block domain feature; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2018.9377
• Languages: English
• ISSNs: 2051-3305

Abstract

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.