DocumentCode :
3568522
Title :
Adaptive parameter tuning for morphological segmentation of building facade images
Author :
Serna, Andr?©s ; Hern??ndez, Jorge ; Marcotegui, Beatriz
Author_Institution :
CMM - Centre de Morphologie Math., Math. et Syst., Mines ParisTech, Fontainebleau, France
fYear :
2012
Firstpage :
2268
Lastpage :
2272
Abstract :
We present an adaptive method to segment Haussmannian facades from street level images. Our approach assumes that images are rectified, cropped and their elements are aligned in a pseudo-regular structure. It is based on the accumulation of directional color gradients, combined with morphological filters in order to deal with textured facades. We propose an automatic parametrization of three filters included in the process: opening filter of size nop, alternate sequential filter (ASF) of size n, and H-minima filter with contrast threshold h. This automatic selection offers robustness to noise, image resolution changes, shadows and textures. Quantitative and qualitative results are reported on a public annotated database, validating the good performances of our approach.
Keywords :
filtering theory; image colour analysis; image resolution; image segmentation; image texture; H-minima filter; Haussmannian facades; adaptive parameter tuning; alternate sequential filter; automatic parametrization; automatic selection; building facade images; directional color gradients; image resolution; image shadows; image textures; morphological segmentation; pseudo-regular structure; street level images; Buildings; Databases; Image resolution; Image segmentation; Noise; Robustness; Tuning; Mathematical morphology; facade segmentation; urban modeling; window detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2012 Proceedings of the 20th European
ISSN :
2219-5491
Print_ISBN :
978-1-4673-1068-0
Type :
conf
Filename :
6333931
Link To Document :
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