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المؤلفQidwai, Uvais
المؤلفMaqbool, Mohammed
تاريخ الإتاحة2024-05-07T05:40:01Z
تاريخ النشر2009
اسم المنشورIEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2009
المصدرScopus
المعرّفhttp://dx.doi.org/10.1109/ISSPIT.2009.5407573
معرّف المصادر الموحدhttp://hdl.handle.net/10576/54713
الملخصIn this paper, infrared (IR) imaging technique is used in conjunction with image deconvolution algorithms in order to enhance detection capabilities of the NDT personnel in detecting defects such as cracks, voids, and pitting. The main idea utilized here is the fact that the heat distribution remains fairly homogenous in a healthy metal and can be seen as a flat surface under IR imaging camera. However, things change drastically if there is a discontinuity in the homogenous metal, such as defects. This change is exploited in this work as an output of a defect function which produces this output when healthy metal image is given as an input to it. H ¿ deconvolution methodology has been utilized here to isolate (deconvolve) the defect function and be able to regenerate the output image without any other obscuring elements. This can enhance the detection capability of the IR camera as well as the NDT personnel.
اللغةen
الناشرIEEE
الموضوعBlind deconvolution
Defect detection
H∞ Deconvolution
Image enhancement
IR images
Morphological operations
العنوانImage deconvolution for enhancing IR images in order to detect defects in metallic plates
النوعConference
الصفحات230-235
dc.accessType Abstract Only


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