Machine Vision Based Local Coastal Fish Recognition

dc.contributor.authorRaihan, Afiq
dc.contributor.authorAnanna, Nadeya Nusrat
dc.date.accessioned2022-03-30T06:41:23Z
dc.date.available2022-03-30T06:41:23Z
dc.date.issued2019-12
dc.description.abstractIn geographically, Bangladesh is situated in the bank of sea of Bay of Bengal. There are many marine resources naturally. Among the resources, coastal fishes which can play a vital role in the growth of economy and can utilize it properly. Due to the natural climate, this is the only birthplace of coastal fish available here. Which is the coastal fish? Where are they from? When can you find them? Many of questionnaires are raised here about the sea salt fishes. Some of the common fishes are known to us but most of the fishes are unknown to all and reduce gradually. In the situation, those fishes can't be save from extinction without learning. Here, data is more crucial part to run it in this project. For training the data, some extraction of features has been used such as Color Analysis, Texture Analysis, Segmentation and three types of classifiers. Various research experiments have been carried out after identification, which can decide whether it is hard enough to identify the coastal fish. This scientific work relates to machine vision, in which case the processing of images is used to identify our local fish. Machine Vision is the only type of technology and methods used to provide automated image-based inspection and analysis for applications such as automatic system, process maintenance, and process control and robot management in industry area.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7650
dc.identifier.urihttp://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7650
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectMarine resources
dc.subjectCoastal fishes
dc.subjectFish recognition
dc.titleMachine Vision Based Local Coastal Fish Recognition
dc.typeArticle

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