Title :
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
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;
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
DOI :
10.1109/IASP.2010.5476051
