Automatic houses detection with color aerial images based on image segmentation
In order to achieve housing automatic detection from high-resolution aerial imagery, the present paper utilized the color information and spectral characteristics of the roofing material, with the image segmentation theory, to study the housing automatic detection method. Firstly, This method propos...
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| Published in | Guang pu xue yu guang pu fen xi Vol. 34; no. 7; p. 1927 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
China
01.07.2014
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| Online Access | Get more information |
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| Summary: | In order to achieve housing automatic detection from high-resolution aerial imagery, the present paper utilized the color information and spectral characteristics of the roofing material, with the image segmentation theory, to study the housing automatic detection method. Firstly, This method proposed in this paper converts the RGB color space to HIS color space, uses the characteristics of each component of the HIS color space and the spectral characteristics of the roofing material for image segmentation to isolate red tiled roofs and gray cement roof areas, and gets the initial segmentation housing areas by using the marked watershed algorithm. Then, region growing is conducted in the hue component with the seed segment sample by calculating the average hue in the marked region. Finally through the elimination of small spots and rectangular fitting process to obtain a clear outline of the housing area. Compared with the traditional pixel-based region segmentation algorithm, the improved method proposed in |
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| ISSN: | 1000-0593 |
| DOI: | 10.3964/j.issn.1000-0593(2014)07-1927-06 |