| 基于OTSU算法与数学形态学的木材缺陷图像分割 |
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| 引用本文： | 戴天虹,吴以. 基于OTSU算法与数学形态学的木材缺陷图像分割[J]. 森林工程, 2014, 0(2): 52-55 |
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| 作者姓名： | 戴天虹 吴以 |
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| 作者单位： | 东北林业大学机电工程学院,哈尔滨150040 |
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| 基金项目： | 黑龙江省自然科学资金（F200920） |
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| 摘 要： | 在木材分选过程中,图像缺陷分割技术占有重要的地位,能否精确提取缺陷轮廓会直接影响到分选的准确率.本文讨论提取木材表面缺陷图像的方法,应用OTSU算法与数学形态学相结合的方法对缺陷图像进行分割,最终提取出缺陷边缘.实验表明,经过OTSU算法和数学形态学进行图像分割,最后得到的木材缺陷图像更加清晰、连贯,提高了图像的可视性和准确性.
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| 关 键 词： | Otsu算法 图像分割 数学形态学 木材表面缺陷图像 |
Image Segmentation of Wood Defect Based OTSU Algorithm and Mathematical Morphology |
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| Dai Tianhong,Wu Yi. Image Segmentation of Wood Defect Based OTSU Algorithm and Mathematical Morphology[J]. Forest Engineering, 2014, 0(2): 52-55 |
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| Authors: | Dai Tianhong Wu Yi |
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| Affiliation: | (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040) |
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| Abstract: | In the process of sorting wood, the image defect segmentation p｜ays an essential role. The accurate extraction of the defect profile will directly affect the accuracy of sorting. This paper discusses the method of extracting wood surface defect images, ap- plies OTSU algorithm combined with mathematical morphology to segment the defect image, and finally extracts the defect edge. Ex- periments show that the visibility and accuracy of the images are improved by OTSU algorithm and mathematical morphology. |
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| Keywords: | OTSU algorithm image segmentation mathematical mm3phology wood surface defect image |
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