Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
Approximations of Shape Metrics and Application to Shape Warping and Empirical Shape Statistics
Foundations of Computational Mathematics
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Image and Vision Computing
Fast Implementation of the Ultimate Opening
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Antiextensive connected operators for image and sequence processing
IEEE Transactions on Image Processing
Flat zones filtering, connected operators, and filters by reconstruction
IEEE Transactions on Image Processing
Ultimate opening and gradual transitions
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Efficient Geodesic Attribute Thinnings Based on the Barycentric Diameter
Journal of Mathematical Imaging and Vision
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In this paper, a method for morphological segmentation using shape information is presented. This method is based on a morphological operator named ultimate attribute opening (UAO ). Our approach considers shape information to favor the detection of specific shapes. The method is validated in the framework of two applications: façade analysis and scene-text detection. The experimental results show that our approach is more robust than the standard UAO .