Image segmentation approach based on new multifractal feature vectors

LI Hui-fang; YU Bian-zhang

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Image segmentation approach based on new multifractal feature vectors

更新时间：2020-08-12

- Image segmentation approach based on new multifractal feature vectors
- Optics and Precision Engineering Vol. 11, Issue 6, Pages: 627-631(2003)
- 作者机构：
  
  西北工业大学, 电子工程系,陕西西安,710072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：06 May 2003，
  
  Revised：11 October 2003，
  
  Published Online：15 December 2003，
  
  Published：15 December 2003
- 稿件说明：
移动端阅览
李会方, 俞卞章. 一种基于多重分形新特征的图像分割算法[J]. 光学精密工程, 2003,(6): 627-631

LI Hui-fang, YU Bian-zhang. Image segmentation approach based on new multifractal feature vectors[J]. Editorial Office of Optics and Precision Engineering, 2003,(6): 627-631
李会方, 俞卞章. 一种基于多重分形新特征的图像分割算法[J]. 光学精密工程, 2003,(6): 627-631 DOI：

LI Hui-fang, YU Bian-zhang. Image segmentation approach based on new multifractal feature vectors[J]. Editorial Office of Optics and Precision Engineering, 2003,(6): 627-631 DOI：

摘要

提出了一种新的基于容度的多重分形图象分析方法.在特征提取方面利用了基于Choquet容度的不同度量标准.从不同的角度提取信息

最大限度地利用了图像中的纹理信息

能将不同类型的纹理有效地区分开.同时结合模糊神经网络提出了一种基于自适应模糊聚类方法的图像纹理分类新算法

不仅克服了经典算法的不足

而且能自动确定网络结构.通过对实际图像的分割试验

证实了该方法的有效性.

Abstract

By computing the spectra associated with different kinds of capacities defined from the grey levels

a new feature vector composed of different kinds of multifractal spectrum of Choquet capacities is proposed

the adaptive FKCN model presented in this paper overcomes the shortcomings of classical algorithms and determines the network structure automatically according to the singularity exponents and spectrum for sum

max

min

iso and capacities of the image. The approach proposed can fully extract the texture information and provide accurate classification results for different textures. Experimental results indicate that

in comparison with the Jacques LEVY

the algorithm proposed has better segmentation quality

improves convergence

and reduces clustering errors as well.

关键词

Keywords

references

JACQUES Lévy Véhel, PASCAL Mignot. Multifractal segmentation of images[J]. In Fractals, 1997,2( 3):371-378.

赵巨波,孙华燕,杜巍. 一种图像边缘特征提取算法[J].光学精密工程, 2000,8(4):325-327.ZHAO J B, SUN H Y, DU W.Edge feature extraction method for image[J].Optics and Precision Engineering,2000,8(4):325-327.(in Chinese)

杨词银,尚海波,贾晨光,等.基于区域分割的自适应反锐化掩模算法[J].光学精密工程,2003,11(2):188-192.YANG C Y, SHANG H B, JIA CH G,et al.Adaptive unsharp masking method based on region segmentation[J].Optics and Precision Engineering,2003,11(2):188-192.(in Chinese)

张明慧,徐卫,张尧禹,等.航空照片的图像增强研究[J]. 光学精密工程2002,10(2):194-200.ZHANG M H, XU W, ZHANG Y Y,et al. Research on image enhancing for aerial photographs[J].Optics and Precision Engineering,2002,10(2):194-200.(in Chinese)

VOJAK R. Multifractal analysis of Choquet capacities: preliminary results[J]. In Advances in Applied Mathematics, 1998,20(1): 1-43.

WANG Y,ZHU Y SH. A short-time multifractal approach for arrhythmia detection based on fuzzy neural network[J]. IEEE Transactions on Biomedical Engineering. 2001, 8(9):989-995.

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