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《Journal of Xi'an Shiyou University(Natural Science Edition)》 2010-03
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Denoising of the downhole broken casing television images using omnidrectional adaptive weighted combined morphological filtering

CUAN Ying,SHAO Wen-xin(College of Computer Science,Xi'an Shiyou University,Xi'an 710065,Shaanxi,China)  
Based on the traditional mathematical morphology filtering,an omnidirectional adaptive weighted combined morphological filtering is put forward by introducing an omnidirectional morphological structural element and the weighted combination of the adaptable morphological operation,which is used for the denoising of the downhole broken casing television images acquired under lowlight condition.Experiment shows that,to the downhole television images of the broken casing with Gaussian white noise as the main noise,this filtering method is more effective than the traditional opening-closing or closing-opening morphological filtering and median filtering.It can effectively remove the noise in the images,improve the visual effect of the images and increase the accuracy of the quantitative interpretation of image digitization in the later stage.
【CateGory Index】: TN949.22
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