Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks
The control of biofouling on marine vessels is challenging and costly. Early detection before hull performance is significantly affected is desirable, especially if “grooming” is an option. Here, a system is described to detect marine fouling at an early stage of development. In this study, an image...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2017/5730419 |
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| author | C. S. Chin JianTing Si A. S. Clare Maode Ma |
| author_facet | C. S. Chin JianTing Si A. S. Clare Maode Ma |
| author_sort | C. S. Chin |
| collection | DOAJ |
| description | The control of biofouling on marine vessels is challenging and costly. Early detection before hull performance is significantly affected is desirable, especially if “grooming” is an option. Here, a system is described to detect marine fouling at an early stage of development. In this study, an image of fouling can be transferred wirelessly via a mobile network for analysis. The proposed system utilizes transfer learning and deep convolutional neural network (CNN) to perform image recognition on the fouling image by classifying the detected fouling species and the density of fouling on the surface. Transfer learning using Google’s Inception V3 model with Softmax at last layer was carried out on a fouling database of 10 categories and 1825 images. Experimental results gave acceptable accuracies for fouling detection and recognition. |
| format | Article |
| id | doaj-art-7e933bb7199b40bd8f83271cca62809a |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-7e933bb7199b40bd8f83271cca62809a2025-02-03T01:33:18ZengWileyComplexity1076-27871099-05262017-01-01201710.1155/2017/57304195730419Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural NetworksC. S. Chin0JianTing Si1A. S. Clare2Maode Ma3Faculty of Science, Agriculture and Engineering, Newcastle University Singapore, Newcastle upon Tyne, NE1 7RU, UKFaculty of Science, Agriculture and Engineering, Newcastle University Singapore, Newcastle upon Tyne, NE1 7RU, UKSchool of Natural and Environmental Sciences, Newcastle University Singapore, Newcastle upon Tyne NE1 7RU, UKSchool of Electrical & Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, SingaporeThe control of biofouling on marine vessels is challenging and costly. Early detection before hull performance is significantly affected is desirable, especially if “grooming” is an option. Here, a system is described to detect marine fouling at an early stage of development. In this study, an image of fouling can be transferred wirelessly via a mobile network for analysis. The proposed system utilizes transfer learning and deep convolutional neural network (CNN) to perform image recognition on the fouling image by classifying the detected fouling species and the density of fouling on the surface. Transfer learning using Google’s Inception V3 model with Softmax at last layer was carried out on a fouling database of 10 categories and 1825 images. Experimental results gave acceptable accuracies for fouling detection and recognition.http://dx.doi.org/10.1155/2017/5730419 |
| spellingShingle | C. S. Chin JianTing Si A. S. Clare Maode Ma Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks Complexity |
| title | Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks |
| title_full | Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks |
| title_fullStr | Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks |
| title_full_unstemmed | Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks |
| title_short | Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks |
| title_sort | intelligent image recognition system for marine fouling using softmax transfer learning and deep convolutional neural networks |
| url | http://dx.doi.org/10.1155/2017/5730419 |
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