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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… 
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Related topics

Related topics

33 relations
3D projection3D single-object recognitionAffine shape adaptationAugmented reality

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach
This paper describes a fruit counting pipeline based on deep learning that accurately counts fruit in unstructured environments… 
Highly Cited
2016
Highly Cited
2016
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Our work proposes a novel deep learning framework for estimating crowd density from static images of highly dense crowds. We use… 
Highly Cited
2010
Highly Cited
2010
A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid
Based on multifractal analysis in wavelet pyramids of texture images, a new texture descriptor is proposed in this paper that… 
Highly Cited
2009
Highly Cited
2009
Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain
Abstract —Edges characterize boundaries and are therefore considered for prime importance in image processing. Edge detection… 
Highly Cited
2007
Highly Cited
2007
Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal
In this paper, we present an adaptive bilateral filter (ABF) for sharpness enhancement and noise removal. ABF sharpens an image… 
Highly Cited
2006
Highly Cited
2006
Comparative Study of Edge Detection Algorithms Applying on the Grayscale Noisy Image Using Morphological Filter
In this paper, classified and comparative study of edge detection algorithms are presented. Experimental results prove that Boie… 
Highly Cited
2004
Highly Cited
2004
Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery
The cost of forest sampling can be reduced substantially by the ability to estimate forest and tree parameters directly from… 
Highly Cited
2003
Highly Cited
2003
Mean-shift blob tracking through scale space
  • R. Collins
  • IEEE Computer Society Conference on Computer…
  • 2003
  • Corpus ID: 1657636
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift… 
Highly Cited
1991
Highly Cited
1991
Robust Contour Decomposition Using a Constant Curvature Criterion
The problem of decomposing an extended boundary or contour into simple primitives is addressed with particular emphasis on… 
Highly Cited
1989
Highly Cited
1989
Gabor filters as texture discriminator
The present paper presents a model for texture discrimination based on Gabor functions. In this model the Gabor power spectrum of… 
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