Open Access

ARTICLE

Image Processing of Manganese Nodules Based on Background Gray Value Calculation

by Hade Mao, Yuliang Liu, Hongzhe Yan, Cheng Qian, Jing Xue

1 School of Naval Architecture and Mechanical Engineering, Zhejiang Ocean University, Zhoushan, 316004, China.
2 Key Laboratory of Submarine Geoscience, Second Institute of Oceanography, State Oceanic Administration, Hangzhou, 310012, China.
3 School of Physics and Electrical Engineering, Huaiyin Normal University, Huai’an, 223300, China.
4 Faculty of Business and Law, Deakin University, Burwood, VIC 3125, Australia.

* Corresponding Author: Yuliang Liu. Email: .

Computers, Materials & Continua 2020, 65(1), 511-527. https://doi.org/10.32604/cmc.2020.09841

Received 21 January 2020; Accepted 20 May 2020; Issue published 23 July 2020

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.

---

Keywords

---