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Bin Object Recognition using Image Matrix Decomposition and Neural Networks

التفاصيل البيبلوغرافية
العنوان: Bin Object Recognition using Image Matrix Decomposition and Neural Networks
المؤلفون: C. R. Hema, R. Nagarajan, S. Yaacob
المصدر: Iraqi Journal for Electrical and Electronic Engineering, Vol 3, Iss 1, Pp 60-64 (2007)
بيانات النشر: College of Engineering, University of Basrah, 2007.
سنة النشر: 2007
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: Object Recognition, Neural Networks, Bin Picking, Singular Values, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Bin picking robots require vision sensors capable of recognizing objects in the binirrespective of the orientation and pose of the objects inside the bin. Bin picking systems arestill a challenge to the robot vision research community due to the complexity of segmenting ofoccluded industrial objects as well as recognizing the segmented objects which have irregularshapes. The problem becomes more complex when these objects look like entirely differentobjects in various orientations. In this paper a simple object recognition method is presentedusing singular value decomposition of the object image matrix and a functional link neuralnetwork for a bin picking vision system. The results of the functional link net are comparedwith that of a simple feed forward net. The network is trained using the error back propagationprocedure. The proposed method is robust for recognition of objects.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1814-5892
2078-6069
Relation: http://ijeee.org/volums/volume3/IJEEE3PDF/36.pdf; https://doaj.org/toc/1814-5892; https://doaj.org/toc/2078-6069
URL الوصول: https://doaj.org/article/59a2479e95984d6ca9e99cc5da6784b8
رقم الأكسشن: edsdoj.59a2479e95984d6ca9e99cc5da6784b8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:18145892
20786069