The Synergy Between Different Colour Spaces For Degraded Colour Images Segmentation
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About The Author

Xiaohao is a research scientist at the University of Cambridge.

In particular, I am interested in:

  • Image segmentation and object tracking
  • Image registration; Wavelets
  • Compressed sensing
  • Applications in processing of digital image, video, biomedical imaging (MRI, CT, kVCT, MVCT), remote sensing data, just to name a few
                       

The Synergy Between Different Colour Spaces For Degraded Colour Images Segmentation

Image segmentation is a fundamental and challenging task in many subjects such as image processing and computer vision. Even though image segmentation seems obvious to a human observer, the problem is still very difficult to solve by a computer. Lots of work focus on segmenting natural colour images; however, when the given images are corrupted by different types of degradations – like noise, information loss and/or blur – the segmentation problem can be more challenging. As to degraded colour images...

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