IEEE Transactions on Pattern Analysis and Machine Intelligence
Iterative area filtering of multichannel images
Image and Vision Computing
On Genuine Connectivity Relations Based on Logical Predicates
ICIAP '07 Proceedings of the 14th International Conference on Image Analysis and Processing
Constrained Connectivity for Hierarchical Image Decomposition and Simplification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Constrained Connectivity and Transition Regions
ISMM '09 Proceedings of the 9th International Symposium on Mathematical Morphology and Its Application to Signal and Image Processing
Pattern Recognition Letters
Constrained connectivity for the processing of very-high-resolution satellite images
International Journal of Remote Sensing - Spatial Information Retrieval, Analysis, Reasoning and Modelling
Spatio-temporal quasi-flat zones for morphological video segmentation
ISMM'11 Proceedings of the 10th international conference on Mathematical morphology and its applications to image and signal processing
Hi-index | 0.00 |
Quasi-flat zones are morphological operators which segment the image into homogeneous regions according to certain criteria. They are used as an image simplification tool or an image segmentation pre-processing, but they induced a very important oversegmentation. Several filtering methods have been proposed to deal with this issue but they suffer from different drawbacks, e.g., loss of quality or edge deformation. In this article, we propose a new method based on existing approaches which achieves better or similar results than existing approaches, does not suffer from their drawbacks and requires less computation time. It consists of two successive steps. First, small quasi-flat zones are removed according to a minimal area threshold. They are then filled through the growth of remaining zones.