Bea1982

[Bea1982]
Hierarchical Picture Segmentation by Approximation

Authors:Beaulieu Jean-Marie, Morris Goldberg

Conference:Proc. Can. Commun. Energy Conf

 Montreal, Canada

 1982, pp. 393-396

Abstract:   Piecewise functional approximation of picture is shown to be a useful tool for primitive and segment extraction. We present an algorithm based on a hierarchical segmentation structure. Functional approximation criteria are employed to direct the sequential merging of segments. A criteria related to the mean squared error is used to guide the merging. The algorithm yields solutions to the picture segmentation and approximation problem. Techniques described have been applied to a LANDSAT picture of an agricultural region (32 multiplied by 32 pixels).

Hierarchical Picture Segmentation by Approximation,
Beaulieu Jean-Marie, Morris Goldberg,
Proc. Can. Commun. Energy Conf, Montreal, Canada, 1982, pp. 393-396.
[Bibtex]

@Conference{Bea1982,
author = {Beaulieu, Jean-Marie and Goldberg, Morris},
editor = {},
title = {Hierarchical Picture Segmentation by Approximation},
booktitle = {Proc. Can. Commun. Energy Conf},
volume = {},
publisher = {},
url = {},
isbn = {},
doi = {},
address = {Montreal, Canada},
pages = {393-396},
year = {1982},
month = {},
abstract = {Piecewise functional approximation of picture is shown to be a useful tool for primitive and segment extraction. We present an algorithm based on a hierarchical segmentation structure. Functional approximation criteria are employed to direct the sequential merging of segments. A criteria related to the mean squared error is used to guide the merging. The algorithm yields solutions to the picture segmentation and approximation problem. Techniques described have been applied to a LANDSAT picture of an agricultural region (32 multiplied by 32 pixels).},
mypdf = {7},
keywords = {}
}

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