Boundary detection in piecewise homogeneous textured images (1992) [8 citations — 0 self]
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@INPROCEEDINGS{Casadei92boundarydetection,author = {Stefano Casadei},
title = {Boundary detection in piecewise homogeneous textured images},
booktitle = {Lecture Notes in Computer Science},
year = {1992},
pages = {174--183},
publisher = {Springer-Verlag}
}
Years of Citing Articles
Abstract:
Abstract. We address the problem of scale selection in texture analysis. Two different scale parameters, feature scale and statistical scale, are defined. Statistical scale is the size of the regions used to compute averages. We define the class of homogeneous random functions as a model of texture. A dishomogeneity function is defined and we prove that it has useful asymptotic properties in the limit of infinite statistical scale. We describe an algorithm for image partitioning which has performed well on piecewise homogeneous synthetic images. This algorithm is embedded in a redundant pyramid and does not require any ad-hoc information. It selects the optimal statistical scale at each location in the image. 1
Citations
| 267 | MultichannelTexture Analysis Using Localized Spatial Filters – Bovik, Geisler |
| 220 | Preattentive texture discrimination with early vision mechanisms – Malik, Perona - 1990 |
| 95 | Visual pattern discrimination – Julesz - 1962 |
| 82 | Texture discrimination by gabor functions – Turner - 1986 |
| 60 | Texture analysis using twodimensional quadrature filters – Knutsson, Granlund - 1983 |
| 27 | The uncertainty principle in image processing – Wilson, Granlund - 1984 |
| 21 | A quad-tree approach to image segmentation which combines statistical and spatial information – Spann, Wilson - 1985 |
| 4 | K.B.Eom, ”Texture boundary detection based on the long correlation model – Kashyap - 1989 |
| 2 | Boundary detection by constraint optimization – Geman, Geman, et al. - 1990 |
| 1 | Multiscale image segmentation by dishomogeneity evaluation and local optimization (master thesis – Casadei - 1991 |
