利用图像处理技术进行腐蚀检测的先进图像处理原型

Q3 Chemistry
M. Malathi, P. Sinthia
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引用次数: 0

摘要

研究工作的主要目的是借助图像处理技术来识别物质的锈蚀。图像锈斑部分的识别是通过将图像量化为矩阵形式来实现的。量化处理有助于对图像执行基本操作,并且还有助于识别图像的所需氧化部分。通过阈值运算、边缘检测和分割,识别出腐蚀部分。阈值有助于描述锈的类型。利用边缘检测方法捕捉图像中颜色的突变变化。因此,分割图像发现颜色变化在氧化图像。采用边缘识别和划分相结合的方法对腐蚀部位进行识别。最后推荐的方法对铁锈的检测准确率达到98%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Advanced Image Processing Prototype for Corrosion Finding Using Image Processing
The main objective of the research work is to recognize the rust of the substance with the help of Image Processing. The recognition of the rust portion of an image is carried out by quantizing of image in matrix form. The quantization process helps to perform the fundamental operation on image and also helps to identify the desired oxidation portion of an image. The corrosion portion was identified through the threshold operation, edge detection and segmentation. Threshold value assists to describe the types of the rust. Further the abrupt modification of colour in the images was captured by the edge detection method. Consequently partitioning of an image find the colour changes in the oxidized image. The corrosion portion was recognized by combining the edge recognition and partitioning process. Finally recommended methods provide the 98% accuracy to detect the rust.
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来源期刊
Journal of Computational and Theoretical Nanoscience
Journal of Computational and Theoretical Nanoscience 工程技术-材料科学:综合
自引率
0.00%
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0
审稿时长
3.9 months
期刊介绍: Information not localized
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