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Identification and Segmentation of Impurities Accumulated in a Cold-Trap Device by using Radiographic Images



Accumulation of impurities within cold trap device results in degradation of efficient performance in a nuclear reactor systems. The impurities have to be identified and the device has to be replaced periodically based on the accumulation level. Though there are a few techniques available to identify these impurities from the cold trap device, there are certain limitations in these techniques. In order to overcome these constraints, a new harmless and easy approach for identifying and separating the impurities using the radiographic images of cold traps is proposed in this paper. It includes a new segmentation algorithm to segregate the deposited impurities from the images of the cold trap device after sodium experiment. The experiment begins with thresholding and segmenting of impurities by using transformations onto the radiographic images of the cold trap device. The procedure is experimented on two section of the cold trap's image and it yields far better results on comparison with other segmentation techniques. The results are verified and approved by the scientists working with Fast Breeder Test Reactors. Implementation of the proposed algorithm with the simulation results are presented in this paper.



Total Pages: 6


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Online Article


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)
Journal: 1995-Present


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