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 nodu...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.展开更多
Optical fiber pre-warning system （OFPS） is widely utilized in pipeline transport fields. The intrusions of OFPS need to be located. In this system, the original signals consist of noises, interferences, and intrusio...Optical fiber pre-warning system （OFPS） is widely utilized in pipeline transport fields. The intrusions of OFPS need to be located. In this system, the original signals consist of noises, interferences, and intrusion signals. Here, noises are background and harmless interferences possessing with high power, and the intrusion signals are the main target of detection in this system. Hence, the study stresses on extracting the intrusion signals from the total ones. The proposed method can be divided into two parts, constant false alarm rate （CFAR） and dilation and erosion （DE）. The former is applied to eliminate noises, and the latter is to remove interferences. According to some researches, the feature of noise background accords with the CFAR spatial detection. Furthermore, the detection results after CFAR can be presented as a binary image of time and space. Besides, interferences are relatively disconnected. Consequently, they can be eliminated by DE which is introduced from the image processing. To sum up, this novel method is based on CFAR and DE which can eliminate noises and interferences effectively. Moreover, it performs a brilliant detection performance. A series of tests were developed in Men Tou Gou of Beijing, China, and the reliability of proposed method can be verified by these tests.展开更多
基金This work and Mao were supported by Open Fund Project of China Key Laboratory of Submarine Geoscience(KLSG1802)Science&Technology Project of China Ocean Mineral Resources Research and Development Association(DY135-N1-1-05)Science&Technology Project of Zhoushan city of Zhejiang Province(2019C42271,2019C33205).
文摘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.
基金The authors are grateful to the anonymous reviewers for their critical and constructive review of the manuscript. This work was funded by the National Natural Science Foundation of China （No. 61571014）.
文摘Optical fiber pre-warning system （OFPS） is widely utilized in pipeline transport fields. The intrusions of OFPS need to be located. In this system, the original signals consist of noises, interferences, and intrusion signals. Here, noises are background and harmless interferences possessing with high power, and the intrusion signals are the main target of detection in this system. Hence, the study stresses on extracting the intrusion signals from the total ones. The proposed method can be divided into two parts, constant false alarm rate （CFAR） and dilation and erosion （DE）. The former is applied to eliminate noises, and the latter is to remove interferences. According to some researches, the feature of noise background accords with the CFAR spatial detection. Furthermore, the detection results after CFAR can be presented as a binary image of time and space. Besides, interferences are relatively disconnected. Consequently, they can be eliminated by DE which is introduced from the image processing. To sum up, this novel method is based on CFAR and DE which can eliminate noises and interferences effectively. Moreover, it performs a brilliant detection performance. A series of tests were developed in Men Tou Gou of Beijing, China, and the reliability of proposed method can be verified by these tests.
