A Robust Approach to Segment Desired Object Based on Salient Colors
EURASIP Journal on Image and Video Processing volume 2008, Article number: 489202 (2007)
This paper presents a clustering-based color segmentation method where the desired object is focused on. As classical methods suffer from a lack of robustness, salient colors appearing in the object are used to intuitively tune the algorithm. These salient colors are extracted according to a psychovisual scheme and a peak-finding step. Results on various test sequences, covering a representative set of outdoor real videos, show the improvement when compared to a simple implementation of the same K-means oriented segmentation algorithm with ad hoc parameter setting strategy and with the well-known mean-shift algorithm.
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Da Rugna, J., Konik, H. A Robust Approach to Segment Desired Object Based on Salient Colors. J Image Video Proc 2008, 489202 (2007). https://doi.org/10.1155/2008/489202
- Image Processing
- Pattern Recognition
- Computer Vision
- Classical Method