摘要
为提高木材节子图像的清晰度和对比度,针对木材节子图像的边缘特征,以木材活节和死节图像为对象,研究小波变换与双三次插值融合的木材节子图像增强算法。结果表明,本方法增强后的木材活节和死节图像在峰值信噪比和结构相似性指数分别为22.994 8、32.054 1和0.928 9、0.919 2,均显著高于直方图均衡化和双三次插值方法,这表明本增强方法具有更好的去除噪声效果和图像保真性能。此外,增强后的木材活节和死节图像的平滑指数为2.934 2、3.889 3,显著优于直方图均衡化和双三次插值方法,这表明该方法不仅提高了清晰度和对比度,而且具有更好的边缘细节信息保留功能。
In order to improve the clarity and contrast of wood knot image, the images of living and dead wood knots were taken as the research objects, aiming at the image edge characteristics of wood knot, a wood knot image enhancement algorithm based on wavelet transform and bicubic interpolation was proposed in this paper.The peak signal to noise ratios of living and dead wood knots were 22.994 8 and 32.054 1,and the structural similarity indexes of the enhanced images of living and dead wood knots were 0.928 9 and 0.919 2,which were significantly higher than those obtained from the algorithm of histogram equalization and bicubic interpolation.It showed that the proposed method had better denoising effect and image fidelity performance.In addition, the filter indexes of the enhanced imaged of living and dead wood knots were 2.934 2 and 3.889 3,which were significantly better than those of histogram equalization and bicubic interpolation, indicating that the proposed method not only improved the clarity and contrast, but also had better edge detail information retention function.
作者
秦彦平
张军
多化琼
贺春光
高凡
QIN Yan-ping;ZHANG Jun;DUO Hua-qiong;HE Chun-guang;GAO Fan(College of Materials Science and Art Design,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China;College of Science,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China)
出处
《西北林学院学报》
CSCD
北大核心
2021年第5期183-189,共7页
Journal of Northwest Forestry University
基金
国家自然科学基金(31760185)。
关键词
木材节子
图像增强
小波变换
双三次插值
wood knot
image enhancement
wavelet transform
bicubic interpolation
作者简介
秦彦平,博士。研究方向:木材科学与技术。E-mail:815974405@qq.com;通信作者:多化琼,博士,教授,博导。研究方向:木材科学与技术。E-mail:duohuaqiong@163.com。
