Watershed (image processing)

Known as: Watershed (algorithm), Watershed segmentation, Watershed algorithm 
In the study of image processing a watershed of a grayscale image is analogous to the notion of a catchment basin of a heightmap. In short, a drop of… (More)
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Papers overview

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Highly Cited
2010
Highly Cited
2010
Neutrosophy studies the origin, nature, scope of neutralities, and their interactions with different ideational spectra. It is a… (More)
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Highly Cited
2010
Highly Cited
2010
Hyperspectral imaging, which records a detailed spectrum of light for each pixel, provides an invaluable source of information… (More)
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Highly Cited
2004
Highly Cited
2004
The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is… (More)
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Highly Cited
2002
Highly Cited
2002
In the framework of computer assisted diagnosis of diabetic retinopathy, a new algorithm for detection of exudates is presented… (More)
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Highly Cited
1999
Highly Cited
1999
Multiscale image analysis has been used successfully in a number of applications to classify image features according to their… (More)
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Highly Cited
1998
Highly Cited
1998
A hybrid multidimensional image segmentation algorithm is proposed, which combines edge and region-based techniques through the… (More)
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Highly Cited
1997
Highly Cited
1997
The parallel watershed transformation used in gray scale image segmentation is reconsidered in this paper on the basis of the… (More)
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Highly Cited
1994
Highly Cited
1994
A major drawback when using the watershed transformation as a segmentation tool comes from the over-segmentation of the image… (More)
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Highly Cited
1991
Highly Cited
1991
===================================== Image segmentation by mathematical morphology is a methodology based upon the notions of… (More)
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Highly Cited
1984
Highly Cited
1984
Nutrient (C, N, and P) concentration changes were measured in surface runoff and shallow groundwater as they moved through a… (More)
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