Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention

@article{Lindeberg2005DetectingSB,
  title={Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention},
  author={Tony Lindeberg},
  journal={International Journal of Computer Vision},
  year={2005},
  volume={11},
  pages={283-318}
}
  • T. Lindeberg
  • Published 1 December 1993
  • Computer Science
  • International Journal of Computer Vision
This article presents: (i) a multiscale representation of grey-level shape called the scale-space primal sketch, which makes explicit both features in scale-space and the relations between structures at different scales, (ii) a methodology for extracting significant blob-like image structures from this representation, and (iii) applications to edge detection, histogram analysis, and junction classification demonstrating how the proposed method can be used for guiding later-stage visual… 

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References

SHOWING 1-10 OF 126 REFERENCES

Scale-space primal sketch: construction and experiments

Early processing of visual information.

  • D. Marr
  • Computer Science
    Philosophical transactions of the Royal Society of London. Series B, Biological sciences
  • 1976
It is argued that "non-attentive" vision is in practice implemented by these grouping operations and first order discriminations acting on the primal sketch, and implies that such knowledge should influence the control of, rather than interfering with, the actual data-processing that is taking place lower down.

A Multiresolution Hierarchical Approach to Image Segmentation Based on Intensity Extrema

A computer algorithm which segments gray-scale images into regions of interest (objects) has been developed. These regions can provide the basis for scene analysis (including shape-parameter

Edge Focusing

  • F. Bergholm
  • Computer Science
    IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1987
It is shown that ``edge focusing'', i.e., a coarse-to-fine tracking in a continuous manner, combines high positional accuracy with good noise-reduction, which is of vital interest in several applications.

Toward a Symbolic Representation of Intensity Changes in Images

  • A. Korn
  • Physics
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1988
The symbolic representation of gray-value variations is studied, with emphasis on the gradient of the image function, and a procedure is proposed to select automatically a suitable scale, and with that, the size of the right convolution kernel.

Scale and the differential structure of images

The structure of images

It is shown that any image can be embedded in a one-parameter family of derived images (with resolution as the parameter) in essentially only one unique way if the constraint that no spurious detail should be generated when the resolution is diminished, is applied.

Discrete Scale-Space Theory and the Scale-Space Primal Sketch

This thesis proposes that the canonical way to construct a scale-space for discrete signals is by convolution with a kernel called the discrete analogue of the Gaussian kernel, or equivalently by solving a semi-discretized version of the diffusion equation.

Shape from texture from a multi-scale perspective

The problem of scale in shape from texture is addressed and the proposed computational model is expressed completely in terms of different invariants defined from Gaussian derivatives at multiple scales in scale-space, allowing for various assumptions about surface texture to estimate local surface orientation.

Symbolic Construction of a 2-D Scale-Space Image

  • E. Saund
  • Mathematics
    IEEE Trans. Pattern Anal. Mach. Intell.
  • 1990
A symbolic approach to constructing a multiscale primitive shape description to 2-D binary (silhouette) shape images is presented, and two types of grouping operations are identified that aggregate edge primitives at one scale into edgePrimitives at a coarser scale and group edge Primitives into partial-region assertions.
...