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A Machine Vision Approach for Recognizing Coastal Fish

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dc.contributor.author Raihan, Afiq
dc.contributor.author Sharmin, Israt
dc.contributor.author Khan, B M Marjan
dc.contributor.author Jabiullah, Md. Ismail
dc.contributor.author Habib, Md. Tarek
dc.date.accessioned 2023-06-07T05:06:16Z
dc.date.available 2023-06-07T05:06:16Z
dc.date.issued 22
dc.identifier.issn 1137-3601
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/10648
dc.description.abstract t Coastal fish is one of the prominent marine resources, which takes a necessary role in the economic growth of a country. Because of environmental issues along with other reasons, not only most of the marine resources are diminishing but also many coastal fishes are getting extinct gradually. As a result, the young peoples have insufficient knowledge of coastal fish. This issue can be solved with the use of vision-based technologies. To deal with this situation, a coastal fish recognition system based on machine vision is conceived, which can be approached by the images of coastal fish that are captured with a portable device and identify the fish to recognize fish. Numerous experimental analyses are executed to exhibit the benefit of this proposed expert system. In the beginning, the conversion of a color image into a gray-scale image occurs and the gray-scale histogram is developed. Using the histogram-based method, image segmentation is conducted. After that, a set of sixteen features comprising four classes is extracted to be fed to a classifier. For reducing the number of features, PCA is applied. To recognize coastal fish, five classical machine learning classifiers are performed, where k-NN provides a potential accuracy of up to 98.89%. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Fish species recognition en_US
dc.subject Machine vision en_US
dc.subject Feature extraction en_US
dc.subject Principal component analysis en_US
dc.subject k-nearest neighbor en_US
dc.subject Performance metric en_US
dc.title A Machine Vision Approach for Recognizing Coastal Fish en_US
dc.type Article en_US

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