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دسته بندی:
پایگاه داده - Database
سال انتشار:
2017
عنوان انگلیسی مقاله:
Semantic recognition of workpiece using computer vision for shape feature extraction and classification based on learning databases
ترجمه فارسی عنوان مقاله:
تشخیص معنایی قطعه کار با استفاده از بینایی ماشین برای استخراج و طبقه بندی ویژگی اشکال بر اساس پایگاه داده های یادگیری
منبع:
Sciencedirect - Elsevier - Optik - International Journal for Light and Electron Optics, 130 (2017) 1426-1437: doi:10:1016/j:ijleo:2016:11:155
نویسنده:
Wei Ding ∗, Jinan Gu, Zhenyang Shang, Shixi Tang, Qian Wu, Enock A. Duodu, Zhi Yang
چکیده انگلیسی:
In this study, the Knowledge Discovery Database (KDD) was used to aid the computer to
visualize, recognize and classify workpieces automatically through intelligent identifica
tion. In order to acquire initial statistical shape features, smooth and segment workpieces
images were accurately taken and the shape features were stored into a database. Rough
Set and Relevancy Analysis was used to reduce the shape features in order to generate
the minimum characteristic vector. Finally, the generated classification rules were used to
guide semantic recognition as prior knowledge. The algorithm is verified on four different
types of workpieces, and the results showed that the obtained shape features are suitable
for object classification and recognition semantically. This paper provides a new technique
of image processing of machine vision and has great significance in the future study.
Keywords: Computer vision | Semantic recognition | Shape features | Knowledge discovery database (KDD)
قیمت: رایگان
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