Edible bird nest shape quality assessment using machine vision system

Edible bird nest shape quality assessment using machine vision system

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Bibliographic Details
Main Authors: Fathinul Syahir, Ahmad Sa'ad, Ali Yeon, Md Shakaff, Prof. Dr., Ammar, Zakaria, Mohd Zulkifly, Abdullah, Dr., Abdul Hamid, Adom, Prof. Dr, Ezanuddin, A. A. M.
Other Authors: fathinul@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2013
Subjects:
Edible bird nest
Fourier descriptor
Shape analysis
Vision system
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/26781
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Institution: Universiti Malaysia Perlis
Language: English

Internet

http://dspace.unimap.edu.my/xmlui/handle/123456789/26781

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