摘要
在手势识别过程中,当获取到的手势信息转换成可用计算机处理的数字图像时,手势图像在生成,传输或变换过程中会受到各种因素的干扰和影响,手势图像的画质将会因噪声而在不同程度上出现畸变,因此需要先对图像进行预处理。图像预处理的过程包括图像平滑和图像二值化,本文分别对多种平滑技术和二值化方法进行了研究和实验对比,为手势识别过程中的手势分割和特征提取提供了有效的数据样本。
In the gesture recognition process,the gesture image in the generation, transmission and transformation process will be subject to interference and influence of various factors, the gesture image quality will appear deformation, therefore the need to image preprocessing.During image preprocessing including image smoothing and image binarization, this paper for a variety of smoothing techniques and binary methods were studied and experimental comparison, for the gesture recognition process gesture segmentation and feature extraction provides effective data samples.
出处
《无线互联科技》
2015年第1期161-162,共2页
Wireless Internet Technology
关键词
手势识别
图像处理
图像平滑
Gesture recognition
image processing
image smoothing
