Colour Morphological Scale-Spaces from the Positional Colour Sieve

Morphological sieves are a popular tool for scale-space image analysis. Recent work has considered the development of colour and multichannel sieves, and their application to image segmentation. This paper proposes a new colour sieve based on the geometry of the local convex hull, providing a more flexible approach to extrema definition. Results show the new approach to have a similar segmentation performance to existing colour sieves but with an improved performance in terms of noise reduction.