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Home / programming language / Online Java Projects / A Feature Learning and Object Recognition Framework for Underwater Fish Images
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Matlab Project - DIP, Image Processing, Simulink, Academic projects,Communication.
  • Matlab Project - DIP, Image Processing, Simulink, Academic projects,Communication.

A Feature Learning and Object Recognition Framework for Underwater Fish Images

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SKU: PROJ7587 Categories: 2017 Projects, Digital Image Processing Projects, Final Year Projects, Online Java Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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A Feature Learning and Object Recognition
Framework for Underwater Fish Images

Abstract— Live fish recognition is one of the most crucial elements of fisheries survey applications where the vast amount of data is rapidly acquired. Different from general scenarios, challenges to underwater image recognition are posted by poor image quality, uncontrolled objects and environment, and difficulty in acquiring representative samples. In addition, most existing feature extraction techniques are hindered from automation
due to involving human supervision. Toward this end, we propose an underwater fish recognition framework that
consists of a fully unsupervised feature learning technique and an error-resilient classifier. Object parts are initialized based on saliency and relaxation labeling to match object parts correctly. < final year projects >

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