According to nondestructive testing principle for the terahertz time domain spectroscopy Imaging, using digital image processing techniques, through Terahertz time-domain spectroscopy system collected images and two-dimensional datas and using a range of processing methods, including selecting regions of interest, contrast enhancement, edge detection, and defects being detected. In the paper, Matlab programming is been use to defect recognition of Terahertz, by figuring out the pixels to determine defects defect area and border length, roundness, diameter size. Through the experiment of the qualitative analysis and quantitative calculation of Matlab image processing, this method of detection of defects of geometric dimension of the sample to get a better result.


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    Title :

    Application of image processing for terahertz time domain spectroscopy imaging quantitative detection


    Contributors:
    Li, Li-juan (author) / Wang, Sheng (author) / Ren, Jiao-jiao (author) / Zhou, Ming-xing (author) / Zhao, Duo (author)

    Conference:

    Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part I ; 2014 ; China,China


    Published in:

    Publication date :

    2015-03-04





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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