Attribute openings, thinnings, and granulometries
Computer Vision and Image Understanding
A Comparison of Algorithms for Connected Set Openings and Closings
IEEE Transactions on Pattern Analysis and Machine Intelligence
Connected Operators Based on Region-Tree Pruning Strategies
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Image and Vision Computing
Antiextensive connected operators for image and sequence processing
IEEE Transactions on Image Processing
Building the Component Tree in Quasi-Linear Time
IEEE Transactions on Image Processing
Ultimate Attribute Opening Segmentation with Shape Information
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and 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
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We present an efficient implementation of the ultimate attribute opening operator. In this implementation, the ultimate opening is computed by processing the image maxtree representation. To show the efficiency of this implementation, execution time is given for various images at different scales. A quasi-linear dependency with the number of pixels is observed. This new implementation makes the ultimate attribute opening usable in real time. Moreover, the use of the maxtree allows us to process specific zones of the image independently, with a negligible additional computation time.