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基于形态学算法分割铁谱图像研究

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在铁谱图像分析与研究中,为实现对铁谱图像的准确性与自动快速分割,首先将二值化图像进行边缘干扰去除并用形态学重构滤除明暗区域,然后采用形态学膨胀与腐蚀消除目标区域内细小孔洞,最后基于形态学分水岭方法实现自动探测目标区域并分割粘连重叠磨粒,大大提高了铁谱图像分割精度,另外由于使用形态学方法处理图像,加快了图像处理的速度,使其满足实时性的要求,所有算法都采用C++实现,实验结果证明该方法的有效性和精确性.
Technical Research on Ferrography Division of Morphology
During the ferrographic image analysis and its technical research. In order to realize the automatic and quick analysis of ferrographic Image, we do morphological close operation to the binary image to eliminate the small holes in the target area,and then use the morphological reconstruction to filter the bright and dark area of the image. In the end.the reconstructed (errographic image is segmented based on morphological watershed technique,which largely improves the accuracy of image analysis Moreover, because we use morphological method lo process image .the speed is increased. This satisfies the real time requirements in the practical application. In this paper, C ++ language is used in the algorithm, the effectiveness and accuracy of this application are proved by experiment results.

morphologicahwatershedmorphological reconstruction

金路、王静秋

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南京航空航天大学机电学院,江苏南京,210016

形态学 分水岭 形态学重构

南航青年科技创业基金

NS2010136

2011

机械制造与自动化
南京机械工程学会 南京机电产业(集团)有限公司

机械制造与自动化

CSTPCD
影响因子:0.29
ISSN:1671-5276
年,卷(期):2011.(3)
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