[1]秦彦平,张军,多化琼*,等. 木材节子图像增强的小波变换与双三次插值融合方法[J].西北林学院学报,2021,36(5):183-189.[doi:10.3969/j.issn.1001-7461.2021.05.28]
　QIN Yan-ping,ZHANG Jun,DUO Hua-qiong*,et al. Fusion Method of Wavelet Transform and Bicubic Interpolation for Wood Knot Image Enhancement[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2021,36(5):183-189.[doi:10.3969/j.issn.1001-7461.2021.05.28]
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 木材节子图像增强的小波变换与双三次插值融合方法()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第36卷
期数:
2021年第5期
页码:
183-189
栏目:
出版日期:
2021-09-30

文章信息/Info

Title:
 Fusion Method of Wavelet Transform and Bicubic Interpolation for Wood Knot Image Enhancement
文章编号:
1001-7461(2021)05-0183-07
作者:
 秦彦平1; 张军2; 多化琼1*; 贺春光1; 高凡1
 (1.内蒙古农业大学 材料科学与艺术设计学院，内蒙古 呼和浩特 010018；2.内蒙古农业大学 理学院，内蒙古 呼和浩特 010018)
Author(s):
 QIN Yan-ping1; ZHANG Jun2; DUO Hua-qiong1*; HE Chun-guang1; GAO Fan1
 (1.College of Materials Science and Art Design,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China; 2.College of Science,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China)
关键词:
 ; 木材节子; 图像增强; 小波变换; 双三次插值
Keywords:
 ; wood knot;  image enhancement;  wavelet transform;  bicubic interpolation
分类号:
S781
DOI:
10.3969/j.issn.1001-7461.2021.05.28
文献标志码:
A
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。
Abstract:
 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.

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备注/Memo

备注/Memo:
 收稿日期：2020-10-28修回日期：2020-12-13
基金项目：国家自然科学基金（31760185）。
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
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