A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
SUSAN—A New Approach to Low Level Image Processing
International Journal of Computer Vision
Robust detection of lines using the progressive probabilistic Hough transform
Computer Vision and Image Understanding - Special issue on robusst statistical techniques in image understanding
Non-Linear Gaussian Filters Performing Edge Preserving Diffusion
Mustererkennung 1995, 17. DAGM-Symposium
Bilateral Filtering for Gray and Color Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Analysis of Building Textures for Reconstructing Partially Occluded Facades
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Morphological segmentation of building façade images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Unsupervised facade segmentation using repetitive patterns
Proceedings of the 32nd DAGM conference on Pattern recognition
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This paper presents an automatic method for gable roof detection in terrestrial images. The purpose of this study is to refine the roofs of a 3D city model automatically derived from aerial images. The input images consist of geo-referenced terrestrial images acquired by a mobile mapping system (MMS). The raw images have been rectified and merged into seamless façade texture images (one texture per façade). Firstly, each image is pre-processed in order to remove small structures and to smooth homogeneous areas. Secondly, line segments are extracted and analysed to define the lateral edges of the roof. Finally, the analysis of the lowest part of the roof leads to the classification of the roof as gable or non-gable. The method was tested on more than 150 images and shows promising results.