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Dokumenttyp:
Bachelorarbeit
Autor(en):
Stoitchkov, D.
Titel:
Analysis of Methods for Automated Symbol Recognition in Technical Drawings
Abstract:
This work begins with some basic computer vision techniques that can be very accurate, but only under certain conditions. Next, a more complex and versatile method of machine learning is proposed (Cascade Classifiers), which can be used in a multitude of situations. However, the Cascade Classifiers method still faces difficulties if a simple symbol with too few features needs to be recognized. Therefore, another technique is proposed that uses artificial neural networks to find symbols in large...     »
Stichworte:
LOCenter; rimcomb
Fachgebiet:
ALL Allgemeines
Aufgabensteller:
Vilgertshofer, S.
Jahr:
2018
Jahr / Monat:
2018-04
Monat:
Apr
Hochschule / Universität:
Technische Universität München
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