摘要
本文提出了一种新的竹编工艺,采用了数字图像处理算法,通过小波变换对扫描图等含噪图像进行滤波去噪,通过Ostu算法对图像进行黑白二值处理,从而就可以把任何一幅数字图案编织成竹编工艺品.为了去除图像中包含的大量噪声,提高基于图形处理的产品加工精度和效率,分析了维纳滤波对于图像消除噪声的特点,采用小波自适应阈值去噪技术剔除图像中的干扰噪声.研究了大津法,P-tile法和一维最大熵阈值法用于图像二值化处理的具体实现过程,分析了存在的不足,采用大津法对图像进行二值化处理.实践运行结果表明,提出的方法能够有效消除图像噪声,提高了图像处理的精度.
By using digital image processing algorithms, including wavelet transform to filter the noisy imag es that have been scanned and Ostu to do some binarization, a new bamboo weaving technology is prosented in this article. With this technology, we can transfer any kind of digital photos into bamboo weaving handicrafts. In order to remove mass noise contained in the image and to improve precision and efficiency of the products based on graphics processing, we give an analysis to the Wiener filter to eliminate noise characteristics of the image, and use adaptive wavelet threshold techniques to remove the interfere noise. We study Otsu method, P-tile method and one dimensional maximum entropy threshold method applied to the specific implementation process of the image binarization processing, analyze their shortcomings, and the Otsu method is adopted. Practical operation result shows that the proposed method can effectively eliminate image noise and im- prove accuracy of the image processing.
出处
《测试技术学报》
2011年第2期158-162,共5页
Journal of Test and Measurement Technology
基金
国家重大科技专项资助项目(20092x04014-102-3)
中央高校基本业务费资助项目(SWJTU09CX019)
西南交通大学校基金资助项目(2008B13)
关键词
图像处理
小波变换
二值化
大津法
阈值
image processing
Wavelet Transform
binarization
Ostu
threshold
