An Efficient Topological Characterization of Gray-Levels Textures, Using a Multiresolution Representation

@article{Pikaz1997AnET,
  title={An Efficient Topological Characterization of Gray-Levels Textures, Using a Multiresolution Representation},
  author={Arie Pikaz and Amir Averbuch},
  journal={CVGIP: Graphical Model and Image Processing},
  year={1997},
  volume={59},
  pages={1-17}
}
function or by a vector of features. In this paper we present a new method for texture characterization, which is based For a given textured image we define a sequence of graphs hNs(t)js[I (called MRCG), where Ns(t) is the number of 4-conon topological properties at different gray-levels and differnected components with size $s, for the images thresholded ent resolutions. We use a data-structure, that was first with t. The sequence of graphs are computed in almost linear represented in [19, 20… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-7 OF 7 REFERENCES

Khalaj , Hamid K . Aghajan , and Tomas Kailath , Patternedfor j r 1 to i do wafer inspection by high resolution spectral estimation techniques , Father [ Path [ j ] ] r root ; Mach

H. Babak
  • . Vision Appl . 7 ,
  • 1994

Description of Textures by a Structural Analysis

  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1979

A max-min measure for image texture analysis

Owen Mitchell, Charles Myers, William Boyne
  • IEEE Trans. Comput
  • 1977

Defect detection in textured images, ICARCV’92

K. Y. Song, M. Petrou, J. Kittler
  • Second International Conference on Automa- 29
  • 1970

An Introduction to Probability Theory and Its Applications, p

William Feller
  • 1968

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