Blob detection

Known as: Laplacian of Gaussian, Determinant of the Hessian, Blob 
In computer vision, blob detection methods are aimed at detecting regions in a digital image that differ in properties, such as brightness or color… (More)
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Topic mentions per year

Topic mentions per year

1981-2017
020406019812017

Papers overview

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2013
2013
Automated whole breast ultrasound (ABUS) is an emerging screening tool for detecting breast abnormalities. In this study, a… (More)
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2013
2013
In this paper, we propose a generalized Laplacian of Gaussian (LoG) (gLoG) filter for detecting general elliptical blob… (More)
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2010
2010
This paper proposes an object detection method using the methods of variable size blob detection along with feature stability… (More)
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2008
2008
This work presents a robust method to detect blob and fit its contour in image. Previous methods for blob detection and… (More)
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2007
2007
In this letter, we propose a novel approach to blob detection based on wavelet transform modulus maxima. We use maxima lines in… (More)
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2005
2005
  • Stefan Hinz
  • IEEE International Conference on Image Processing…
  • 2005
This paper introduces an algorithm for fast and subpixel precise detection of small, compact image primitives ("blobs"). The… (More)
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Highly Cited
2003
Highly Cited
2003
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift… (More)
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Highly Cited
2001
Highly Cited
2001
Blob trackers have become increasingly powerful in recent years largely due to the adoption of statistical appearance models… (More)
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Highly Cited
1998
Highly Cited
1998
The fact that objects in the world appear in different ways depending on the scale of observation has important implications if… (More)
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1981
1981
A blob is a compact region lighter (or darker) than its background surrounded by a smoothly curved edge. Blobs can be detected… (More)
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