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A multiresolution texture gradient method for unsupervised segmentation
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Hsu, Tao-I, Kuo, Jiann Ling and Wilson, Roland (2000) A multiresolution texture gradient method for unsupervised segmentation. Pattern Recognition, Volume 33 (Number 11). pp. 1819-1833. ISSN 0031-3203.
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Official URL: http://dx.doi.org/10.1016/S0031-3203(99)00177-6
Abstract
A texture segmentation algorithm is described, which is designed using a cooperative algorithm within the Multiresolution Fourier Transform (MFT) (Wilson et al., IEEE Trans. Inform. Theory 38(2) (1992) 674-690) framework. The magnitude spectrum of the MFT is employed as feature space wherein the detection of texture boundaries is estimated by means of the combination of boundary information and region properties. A pre-smoothing process is first applied to the MFT magnitudes to reduce the texture fluctuations followed by Sobel operator performed on the MFT magnitudes to give a texture boundary estimate. The refinement of the boundary estimate is accomplished by utilizing both boundary link probabilities and region link probability in an iterative manner. Results on a number of synthetic and natural textures that illustrate the effectiveness of the scheme are presented.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | Pattern Recognition | ||||
Publisher: | Pergamon | ||||
ISSN: | 0031-3203 | ||||
Official Date: | November 2000 | ||||
Dates: |
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Volume: | Volume 33 | ||||
Number: | Number 11 | ||||
Number of Pages: | 15 | ||||
Page Range: | pp. 1819-1833 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
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