@Article{cmc.2020.09841,
AUTHOR = {Hade Mao, Yuliang Liu, Hongzhe Yan, Cheng Qian, Jing Xue},
TITLE = {Image Processing of Manganese Nodules Based on Background  Gray Value Calculation},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {65},
YEAR = {2020},
NUMBER = {1},
PAGES = {511--527},
URL = {http://www.techscience.com/cmc/v65n1/39580},
ISSN = {1546-2226},
ABSTRACT = {To troubleshoot two problems arising from the segmentation of manganese 
nodule images-uneven illumination and morphological defects caused by white sand 
coverage, we propose, with reference to features of manganese nodules, a method called
“background gray value calculation”. As the result of the image procession with the aid
this method, the two problems above are solved eventually, together with acquisition of a 
segmentable image of manganese nodules. As a result, its comparison with other 
segmentation methods justifies its feasibility and stability. Judging from simulation results,
it is indicated that this method is applicable to repair the target shape in the image, and 
segment the manganese nodule image in a short time. Also, it could be used to
synchronously process a large number of manganese nodules on different conditions in an 
image, laying a good foundation for automatic underwater manganese nodule survey. Even 
if the target in the image is slightly distorted, the statistical data of manganese nodules are 
still accurate. Moreover, other methods cannot be fully applied to the segmentation of 
manganese nodule images; in another word, the effectiveness and stability of this method 
are proved.},
DOI = {10.32604/cmc.2020.09841}
}