What is it about?
We introduce here a low computational cost system based on the Radon transform to determine markers for watershed segmentation purposes in nearly-circular structures of grayscale images, like the red blood cells in images obtained by optical light microscopy of blood smears.
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Why is it important?
Segmentation of circular structures in digital images is a usual procedure in many image analysis techniques. Segmentation algorithms based on the marker-controlled watershed transform have been widely employed due to their significant reduction of over-segmentation, showing to be a robust and flexible method for segmenting structures having a closed contour, in which the boundaries are expressed as ridges.
Perspectives
Contribute to increase the precision in marker identification for watershed segmentation using a low computational cost scheme based on the Radon transform.
Dr Rubén Orozco-Morales
Universidad Central Marta Abreu de las Villas
Read the Original
This page is a summary of: Automated marker identification using the Radon transform for watershed segmentation , IET Image Processing, March 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-ipr.2016.0525.
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