Frontiers of Information Technology (2011)
Dec. 19, 2011 to Dec. 21, 2011
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2011.31
Watershed transform is a commonly used image segmentation method. The main problem with this segmentation technique is that of its sensitivity to noise and other irregularities which leads to over-segmentation. In this paper the over-segmentation problem is overcome by combing pre-processing and post-processing techniques along with watershed transform. First multi-scale morphological filtering by reconstruction is used to remove noise and then h minima transform is implemented to extract markers. These markers are then superimposed on gradient image. Watershed transform is then applied on the modified gradient map. Post-processing region merging technique is used to merge the over segmented regions in the final segmented map. Experimental results show that the over-segmentation problem is reduced with the average segmentation accuracy of 0.96.
Watershed transform, image segmentation, over-segmentation, h minima transform, region merging
A. Jalil, M. Fiaz, K. Ali and M. U. Gull, "Medical Image Segmentation Using H-minima Transform and Region Merging Technique," Frontiers of Information Technology(FIT), Islamabad, Pakistan, 2011, pp. 127-132.