Morphological segmentation of sport scenes using color information

We propose a new method for segmenting image sequences in sports scenes containing brisk movement. An important feature of this method is the computation of color histograms in the areas for the turf, which is done interactively during rehearsal. Another important feature is automatic morphological segmentation during broadcast. The morphological segmentation consists of two operations: coarse segmentation by binary reconstruction based on the areas detected by thresholding the color histogram, and fine segmentation by watershed transformation with markers. It is shown that this new method achieves accurate segmentation in sport scenes.