人体轮廓机器视觉检测算法的研究进展

doi:10.13475/j.fzxb.20200307007

摘要/Abstract

摘要：

为了更好地将轮廓视觉检测方法应用于非接触式二维人体围度测量,总结了近年来轮廓视觉检测的方法,包括基于边缘算子的检测、基于数学形态学的检测、基于水平集的主动轮廓模型的检测算法。通过实验效果图对比,重点评述了轮廓视觉检测方法的边缘清晰度、抗噪能力以及目标边缘定位能力,其中特别探讨了Canny边缘算子在优化与改进方面的研究进展。相关研究为实现背景和穿着复杂情况下的人体轮廓视觉检测提供了理论参考。最后阐述了人体轮廓视觉检测存在的挑战及机遇,指出人体轮廓视觉检测在非接触式二维人体围度尺寸测量方面具有很好的发展前景。

关键词: 机器视觉, 轮廓检测, 人体轮廓, 人体围度, 边缘算子, 主动轮廓模型

Abstract:

In order to better apply the contour vision detection method to non-contact two-dimensional body circumference measurement, the contour vision detection methods in recent years are reviewed, including edge operators based detection, mathematical morphology based detection, and level set detection algorithm of active contour model. Through the comparison of experimental renderings, the edge definition, anti-noise ability and target edge positioning ability of the contour visual detection method are re-evaluated. In particular, the research progress of Canny edge operator in optimization and improvement is discussed. The relevant researches provide a theoretical reference for carrying out the visual detection of human contours under complicated background and wearing conditions. Finally, the challenges and opportunities of human body contour machine vision detection are described, and it is pointed out that human contour vision detection has a good development prospect in non-contact two-dimensional body circumference measurement.

Key words: machine vision, contour detection, human contour, body circumference, edge operator, active contour model

中图分类号:

TP391.8

冯文倩, 李新荣, 杨帅. 人体轮廓机器视觉检测算法的研究进展[J]. 纺织学报, 2021, 42(03): 190-196.

FENG Wenqian, LI Xinrong, YANG Shuai. Research progress in machine vision algorithm for human contour detection[J]. Journal of Textile Research, 2021, 42(03): 190-196.

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