博碩士論文 106522042 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊工程學系zh_TW
DC.creator陳履軒zh_TW
DC.creatorLu-Hsuan Chenen_US
dc.date.accessioned2019-8-22T07:39:07Z
dc.date.available2019-8-22T07:39:07Z
dc.date.issued2019
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=106522042
dc.contributor.department資訊工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract魚類在我們的日常生活佔了很大一部分,但是在沒有專業的訓練之下,我們很難去 辨別魚的種類。因此,我們需要研發一個魚類影像分割和辨識系統來幫助一般人辨別一 個圖片中可見的每隻魚的種類。不過從頭研發一個上述的系統相當的消耗人力和時間。 本研究提出一個基於深度學習的魚類影像切割和辨識的系統設計,使用 MIAT 系統設計 方法論,按照 IDEF0 進行模組和階層式系統設計,並使用 GRAFCET 進行離散事件建 模,以進行系統軟體高階合成來建構我們的系統。我們亦展示我們使用的影像標註工具 以及標註流程和規則。本研究以一個魚類圖片資料庫來驗證此一方法論建構出的系統。 實驗結果顯示,本系統可以在驗證資料集上面達到 85%的 top-1 準確度,並在兩個月之 內把本系統研發完成。 zh_TW
dc.description.abstractFish plays an important role in our life, but we can hardly to recognize the type of fish without professional training. As a result, we would like to design a system which can segment the part of fish from an image then classify the kind of each part of segments for ordinary human being. Nevertheless, designing and implementing such system from scratch costs a lot of human labor and time. This dissertation proposes a fish image segmentation and classification system design with the help of deep learning. We adopt the core concepts of MIAT Methodology to construct the system with IDEF0 for modular and hierarchical system design and GRAFCET of discrete event modeling. Also, we demonstrate the image annotation tool we use on labeling dataset and state the protocols of image annotation. We adopt a fish image dataset to verify the system created with applying MIAT Methodology within two months, and the system shows a top-1 accuracy of 85%.en_US
DC.subject深度學習zh_TW
DC.subject機器學習zh_TW
DC.subject影像分割zh_TW
DC.subject影像切割zh_TW
DC.subject影像辨識zh_TW
DC.subjectdeep learningen_US
DC.subjectMask R-CNNen_US
DC.subjectResNeten_US
DC.subjectmachine learningen_US
DC.subjectimage segmentationen_US
DC.subjectsemantic segmentationen_US
DC.subjectinstance segmentationen_US
DC.subjectimage classificationen_US
DC.subjectimage recognitionen_US
DC.title基於深度學習的魚類影像分割和辨識zh_TW
dc.language.isozh-TWzh-TW
DC.titleFish Image Segmentation and Classification System Design Based on Deep Learningen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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