NDLI: The marker-based watershed segmentation algorithm of ore image

Content Provider	IEEE Xplore Digital Library
Author	Wei Zhang DaLing Jiang
Copyright Year	2011
Description	Author affiliation: College of Electronics Information and Control Engineering, Beijing University of Technology Beijing, China (DaLing Jiang) \|\| College of Electronics Information and Control, Engineering, Beijing University of Technology, Beijing, China (Wei Zhang)
Abstract	Image segmentation is a chief and basic issue in the field of image analysis as well as pattern recognition. Meanwhile, it is also the classical puzzle in image processing. And the watershed transform is a powerful morphological tool for image segmentation. But its short-coming is to cause over-segmentation. Therefore, labeling watershed algorithm has been presented in this paper. Firstly, a bilateral filtering is applied to smooth the original image, so it can reduce part of noise. Secondly, according to the characteristics of the ore image the distance transform and morphological reconstruction are used to realize labeling watershed transformation on this basis. Finally, segmentation result is obtained by using an improved method of labeling watershed algorithm. The experimental result shows that the method can reduce over-segmentation more efficiently, with a precision of more than 80%.
Starting Page	472
Ending Page	474
File Size	744452
Page Count	3
File Format	PDF
ISBN	9781612844855
e-ISBN	9781612844862
DOI	10.1109/ICCSN.2011.6014611
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Computer vision Accuracy Shape image segmentation distance transformation morphological reconstruction marker watershed Image reconstruction bilateral filter
Content Type	Text
Resource Type	Article

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