[1]侯艳丽.融合多特征的纹理图像分割算法[J].计算机技术与发展,2012,(05):120-122.
　HOU Yan-li.Texture Image Segmentation Algorithm of Space Feature and Frequency Feature Fusion[J].,2012,(05):120-122.
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融合多特征的纹理图像分割算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年05期
页码:
120-122
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Texture Image Segmentation Algorithm of Space Feature and Frequency Feature Fusion
文章编号:
1673-629X（2012）05-0120-03
作者:
侯艳丽
商丘师范学院计算机与信息技术学院
Author(s):
HOU Yan-li
Department of Computer and Information Technology, Shangqiu Teachers College
关键词:
图像; 纹理分割; 小波框架; k均值聚类; 支持向量数据域描述
Keywords:
image ; texture segmentation ;  wavelet frame ; k-means clustering ;  support vector domain description
分类号:
TP391.41
文献标志码:
A
摘要:
针对传统的只用纹理的一种特征进行纹图像分割时的分割错误率较高的问题，提出了一种融合多特征的纹理图像分割算法。该方法综合考虑纹理的空间特征和频域特征，其中，空间特征提取在支持向量数据域描述的基础上进行；频域特征提取则利用改进的小波框架反映不同尺度间的特征；在此基础上，利用k均值算法对融合后的纹理特征进行聚类从而完成纹理图像的分割。实验结果表明与传统的只利用纹理的一种特征进行分割相比，该方法的错误率明显降低，同时在边缘准确性和区域一致性上都得到了明显的改善
Abstract:
Aim to decrease the segmentation error, a texture image segmentation algorithm based on space feature and frequency feature fusion is studied in this paper, in which both space feature and frequency feature are considered simultaneously. Firstly, space feature of a texture image is extracted based on support vector domain description. Secondly, frequency feature is extracted in different scale using modified discrete wavelet frame transform. And then, the k-means clustering algorithm is applied to the texture segmentation. At last, sim- ulations are performed on the presented algorithm, and the simulation result shows that the presented algorithm not only has high accuracy of boundary locations, but also has good region homogeneity

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备注/Memo

备注/Memo:
河南省科技厅自然科学基金研究项目（112300410301）;河南省科技厅科技攻关研究项目（112102210210）;河南省教育厅自然科学基金项目（2010A510009）侯艳丽（1978-），女，河南南阳人，讲师，硕士，主要研究方向为多传感器多目标数据融合技术、图像处理和模式识别
更新日期/Last Update: 1900-01-01