[1] Xiao Hua, Shu Huazhong, Yu Wenxue, Li Songyi, et al. Orthogonal moment based texture segmentation [J]. Journal of Southeast University (English Edition), 2003, 19 (1): 31-34. [doi:10.3969/j.issn.1003-7985.2003.01.008]

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Orthogonal moment based texture segmentation()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

19

Issue:

2003 1

Page:

31-34

Research Field:

Computer Science and Engineering

Publishing date:

2003-03-30

Info

Title:

Orthogonal moment based texture segmentation

Author(s):

Xiao Hua;  Shu Huazhong;  Yu Wenxue;  Li Songyi

Department of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China

Keywords:

Legendre moment;  texture;  radial basis function neural network

PACS:

TP391.4

DOI:

10.3969/j.issn.1003-7985.2003.01.008

Abstract:

Texture segmentation is a necessary step to identify the surface or an object in an image. We present a Legendre moment based segmentation algorithm. The Legendre moments in small local windows of the image are computed first and a nonlinear transducer is used to map the moments to texture features and these features are used to construct feature vectors used as input data. Then an RBF neural network is used to perform segmentation. A k-mean algorithm is used to train the hidden layers of the RBF neural network. The training of the output layer is the supervised algorithm based on LMS. The algorithm has been successfully used to segment a number of gray level texture images. Compared with the geometric moment-based texture segmentation, we can reduce the error rates using orthogonal moments.

References:

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[7] Voorhees H, Poggio T. Detecting textons and texture boundaries in natural images[A]. In: Proc of the First International Conference on Computer Vision[C]. London, 1987. 250-258.
[8] Mihran Tuceryan. Moment based texture segmentation[J]. Pattern Recognition Letters, July, 1994, PRL(15):659-668.
[9] Caelli T, Oguztoreli M N. Some tasks and signal dependent rules for spatial vision[J]. Spatial Vision, 1987, 2:295-315.
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Memo

Memo:

Biographies: Xiao Hua(1978—), female, graduate; Shu Huazhong(corresponding author), male, professor, shu.list@seu.edu.cn.

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