电子测量与仪器学报

贾宇申,蔡振江,程曼.针对纵向纹理的图像自适应滤波算法[J].电子测量与仪器学报,2017,31(3):443-447

针对纵向纹理的图像自适应滤波算法

Adaptive filtering algorithm aiming at vertical texture images

DOI：10.13382/j.jemi.2017.03.017

英文关键词:image processing edge scan texture analysis adaptive filter image denoising

基金项目:河北省自然科学基金青年科学基金(C2014204025)资助项目

作者	单位
贾宇申	河北农业大学机电工程学院保定071000
蔡振江	河北农业大学机电工程学院保定071000
程曼	河北农业大学机电工程学院保定071000

Author	Institution
Jia Yushen	College of Mechanical and Electrical Engineering Agricultural University of Hebe； Baoding 071000，China
Cai Zhenjiang	College of Mechanical and Electrical Engineering Agricultural University of Hebe； Baoding 071000，China
Cheng Man	College of Mechanical and Electrical Engineering Agricultural University of Hebe； Baoding 071000，China

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中文摘要:

在对纸张或电池片计数时，采集的侧边图像呈纵向条纹状。在对其滤波时，传统滤波算法往往造成边缘图像模糊。为解决上述问题，设计了一种针对电池片纵向纹理的自适应模板滤波算法，根据图像灰度确定阈值，寻找边缘像素点进行排除，并对其余部分根据周边像素点灰度值建立自适应模板。从滤波前后的灰度值曲线图可见，算法在边缘位置的处理效果好，处理后的图像灰度平滑性高，具有实用价值。

英文摘要:

When counting papers and wafer cells, the sides of gathered images are horizontally striped. During its filtering, traditional filtering algorithm often results edge image blur. To solve those problems, this paper presents an adaptive template filtering algorithm for vertical solar cells image, which determines threshold by the image gray, finds edge pixels to exclude, and creates the template for the rest of the pixels by surrounding pixels’ gray value. It is seen from the graph of the gradation values before and after filtering that the algorithm has good effect at the edges, and the gray of result image is highly smoothed, and the algorithm has practical value.

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