Name
Abstract | ||
|---|---|---|
This paper presents an improved watershed segmentation method based on multi-scale edge detection which is applied to cell image segmentation. First, advantage of using morphology for the edge detection is discussed, secondly, multi-scale edge detection method is constructed by the weighted combination of morphological operations. After using the multi-scale edge detection method, result is taken as the input of watershed segmentation, then implements region merging to get the final result. Experimental results show that the method can provide precise and closed region contour. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/CASoN.2010.28 | CASoN |
Keywords | Field | DocType |
closed region contour,improved watershed segmentation method,watershed transformation,morphological operation,multi-scale edge detection method,image segmentation,multi-scale edge detection,cell image segmentation,improved watershed transformation,cell image,weighted combination,morphology,edge detection,multiscale edge detection,morphological operations,watershed transform,transforms,final result,watershed segmentation,medical image processing,merging,biomedical imaging,finite element methods,noise,pixel | Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Range segmentation,Edge detection,Segmentation-based object categorization,Watershed,Image segmentation,Pixel,Artificial intelligence,Morphological gradient | Conference |
ISBN | Citations | PageRank |
978-1-4244-8785-1 | 2 | 0.45 |
References | Authors | |
2 | 3 | |