DocumentCode
1967226
Title
Shape recognition using machine learning
Author
Gomez, Sebastian
Author_Institution
Syst. & Comput. Eng., Univ. Tecnol. de Pereira, Pereira, Colombia
fYear
2011
fDate
4-6 May 2011
Firstpage
1
Lastpage
3
Abstract
Computer vision is a growing field of computer science that intends to extract some useful information from images, usually taken from cameras or scanners. The ability to recognize shapes in images is often necessary in computer vision programs. This article describes how to make a program able to recognize basic geometrical figures by using machine learning. This article shows the image processing stages until feature extraction; Giving to the reader an idea of how to apply computer vision for other problems that involve shape recognition.
Keywords
computational geometry; feature extraction; learning (artificial intelligence); shape recognition; computer vision; feature extraction; geometrical figures; image processing stages; machine learning; shape recognition; Computer vision; Computers; Image recognition; Machine learning; Pixel; Shape; Training; Artificial Intelligence; Computer vision; Machine learning; Pattern Recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing Congress (CCC), 2011 6th Colombian
Conference_Location
Manizales
Print_ISBN
978-1-4577-0285-3
Type
conf
DOI
10.1109/COLOMCC.2011.5936308
Filename
5936308
Link To Document