Automatic classification algorithm of urban building based on corner analysis

Author

Miao, Yang ; Cheng-Long, Gong

Author_Institution

Dept. of Electron. Eng., HuaiHai Inst. of Technol., Lianyungang, China

fYear

2010

fDate

9-11 April 2010

Firstpage

579

Lastpage

582

Abstract

An automatic type estimation method of the urban building is presented in this paper. This work analyzes the corner characteristic of common city buildings. Using morphological sieves of large scale, rough building contours are obtained. This method uses the segments and corners optimization to group each corner, and realizes the automatic differentiation between flat roof building and non-flat building. Finally, simulation examples show the validity and effectiveness of the proposed method.

Keywords

building; estimation theory; image classification; mathematical morphology; automatic classification algorithm; automatic differentiation; automatic estimation method; corner analysis; corners optimization; flat roof building; morphological sieves; nonflat building; rough building contours; urban building; Algorithm design and analysis; Buildings; Cities and towns; Classification algorithms; Fluctuations; Image classification; Image reconstruction; Image retrieval; Image segmentation; Morphology; Contour extraction; Corner detection; Hough; Image classification;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing (IASP), 2010 International Conference on

Conference_Location

Zhejiang

Print_ISBN

978-1-4244-5554-6

Electronic_ISBN

978-1-4244-5556-0

Type

conf

DOI

10.1109/IASP.2010.5476051

Filename

5476051