| 基于小波分解和分形理论的金相图像识别 |
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| 引用本文： | 雷伟,滕奇志,唐棠. 基于小波分解和分形理论的金相图像识别[J]. 理化检验(物理分册), 2008, 44(4): 184-188 |
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| 作者姓名： | 雷伟 滕奇志 唐棠 |
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| 作者单位： | 四川大学,电子信息学院图像信息研究所,成都,610064;四川大学,电子信息学院图像信息研究所,成都,610064;四川大学,电子信息学院图像信息研究所,成都,610064 |
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| 摘 要： | 为解决目标相互粘连的金相图像分类问题，提出了一种基于小波分解和分形理论的金相图像识别方法。该方法通过对原图像作一级小波变换，分别提取小波变换后的各输出子图像的分形维数和相关维数构成纹理特征值，对金相图像进行分类识别，结果表明取得了较好的效果。
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| 关 键 词： | 金相图像 小波分解 分形 纹理特征 |
| 文章编号： | 1001-4012(2008)04-0184-04 |
| 修稿时间： | 2007-03-22 |
METALLOGRAPHIC IMAGE RECOGNITION BASED ON WAVELET DECOMPOSITION AND FRACTAL THEORY |
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| LEI Wei,TENG Qi-Zhi,TANG Tang. METALLOGRAPHIC IMAGE RECOGNITION BASED ON WAVELET DECOMPOSITION AND FRACTAL THEORY[J]. Physical Testing and Chemical Analysis Part A:Physical Testing, 2008, 44(4): 184-188 |
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| Authors: | LEI Wei TENG Qi-Zhi TANG Tang |
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| Affiliation: | (College of Electronics and Information, Sichuan University, Chengdu 610064, China) |
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| Abstract: | A method of metallographic image recognition based on wavelet decomposition and fractal theory was presented The aim of the method was to solve the difficulty problem of metallographic image, in which objects were hardly isolate. After a tree-structured wavelet transform was employed, the features of texture, which were composed of fractal dimensions and relative dimensions, were extracted from the each frequency channel of wavelet transform output, the experiment of recognizing metallographic had been done and the result was satisfactory, which verified the effect of the method. |
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| Keywords: | Metallographic image Wavelet decomposition Fractal theory Texture feature |
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