@Article{2019.100000156,
AUTHOR = {Thamotharan B, Venkatraman B, Chandrasekaran S},
TITLE = {Identification and Segmentation of Impurities Accumulated in a Cold-Trap  Device by Using Radiographic Images},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {26},
YEAR = {2020},
NUMBER = {2},
PAGES = {335--340},
URL = {http://www.techscience.com/iasc/v26n2/39948},
ISSN = {2326-005X},
ABSTRACT = {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 result s are presented in this paper.},
DOI = {10.31209/2019.100000156}
}