期刊文献+

基于相似性的中智学图像分割方法 被引量:1

Neutrosophic image segmentation approach based on similarity
下载PDF
导出
摘要 针对传统图像分割算法抗噪性差的问题,提出基于相似性的中智学图像分割方法。该方法在中智学基础上,利用图像信息的不确定性,结合相似性运算对图像信息进行处理。根据像素点的不确定性,图像在中智学领域内经相似性运算和图像增强后,利用聚类将其分割。实验结果显示,该方法可以有效剔除噪声,提高图像的信噪比,对合成图像分割错误率仅为0.110 7,低于其他方法,表明本方法在抗噪性以及图像分割效果上比其他方法更为理想。 According to the noise disturbance of image segmentation,this paper proposed a similarity-based neutrosophic image segmentation approach.Considering the indeterminacy of image information,the concept of similarity,as an operation,was introduced to processing of image information with neutrosophy theory.With indeterminacy of each pixel,it used similarity and enhancement operations to process an image in the field of neutrosophy.Then,it segmented the image using clustering.The experiments show that the proposed method can eliminate noise effectively and improve PSNR of image.The error rate of synthetic image segmentation is only 0.110 7 and lower than other methods.The proposed method is better in the noise disturbance and segmentation effect.
作者 赵鑫 王士同
出处 《计算机应用研究》 CSCD 北大核心 2012年第6期2371-2374,共4页 Application Research of Computers
基金 国家自然科学基金资助项目(60903100 60975027) 江苏省自然科学基金资助项目(BK2009067)
关键词 图像分割 中智学 不确定性 相似性运算 图像增强 聚类 image segmentation neutrosophy indeterminacy similarity operation image enhancement clustering
  • 相关文献

参考文献11

  • 1CHENG Heng-da, JIANG Xi-hua, SUN Ying, et al. Color image segmentation: advances and prospects [ J ]. Pattern Recognition, 2001,34(12) :2259-2281.
  • 2YANG Xiao-chun, ZHAO Wei-dong, CHEN Yu-fei, et al. Image segmentation with a fuzzy clustering algorithm based on Ant-Tree[ J ]. Signal Processing ,2008,88(10) :2453-2462.
  • 3CHEN Qiang, SUN Quan-sen,XlA De-shen. Homogeneity similarity based image denoising [ J ]. Pattern Recognition, 2010,43 ( 12 ) : 4089- 4100.
  • 4弗罗仁汀·司马仁迭齐.中智学:中智逻辑,中智集合论,中智概率论[M].刘峰,译中国台北:希泉出版社,2003.
  • 5ZADEH L A. Probability theory and fuzzy logic are complementary rather than competitive [ J ]. Technometrics, 1995,37 ( 3 ) :271-276.
  • 6CHUNG Fu-lai, DENG Zhao-hong, WANG Shi-tong. An adaptive fuzzy-inference-rule-based flexible model for automatic elastic image registration [ J ]. IEEE Trans on Fuzzy Systems, 2009,17 ( 5 ) : 995-1010.
  • 7CHENG Heng-da, GUO Yan-hui. A new neutrosophic approach to image thresholding[ J ]. New Mathematics and Natural Computation ,2008,4( 3 ) :291-308.
  • 8GUO Yan-hui, CHENG Heng-da. New neutrosophic appraoch to image segmentation [ J ]. Pattern Recognition, 2009,42 ( 5 ) : 587- 595.
  • 9ZHU Lin, CHUNG Fu-lai, WANG Shi-tong. Generalized fuzzy Cmeans clustering algorithm with improved fuzzy partitions [ J]. IEEE Trans on Systems Man and Cybernetics,2009,39(3 ) :578-591.
  • 10MA Li, STAUNTON R C. A modified fuzzy C-means image segmentation algorithm for use with uneven illumination patterns[ J ]. Pattern Recognition ,2007,40( 11 ) :3005-3011.

同被引文献8

引证文献1

二级引证文献7

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部