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一種圖像分割的快速不動點算法

李偉斌 易賢 宋松和

李偉斌, 易賢, 宋松和. 一種圖像分割的快速不動點算法[J]. 電子與信息學(xué)報, 2015, 37(10): 2390-2396. doi: 10.11999/JEIT150112
引用本文: 李偉斌, 易賢, 宋松和. 一種圖像分割的快速不動點算法[J]. 電子與信息學(xué)報, 2015, 37(10): 2390-2396. doi: 10.11999/JEIT150112
Li Wei-bin, Yi Xian, Song Song-he. Fast Fixed-point Algorithm for Image Segmentation[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2390-2396. doi: 10.11999/JEIT150112
Citation: Li Wei-bin, Yi Xian, Song Song-he. Fast Fixed-point Algorithm for Image Segmentation[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2390-2396. doi: 10.11999/JEIT150112

一種圖像分割的快速不動點算法

doi: 10.11999/JEIT150112
基金項目: 

國家自然科學(xué)基金(11172314)

Fast Fixed-point Algorithm for Image Segmentation

Funds: 

The National Natural Science Foundation of China (11172314)

  • 摘要: 該文在去除背景便能獲得目標的分割思想之上,提出了一個凸的無約束最小化問題。證明了問題提出過程中添加懲罰項的合理性,并通過實驗驗證了證明結(jié)果。在最小化求解方面,應(yīng)用次微分和近似算子的相關(guān)理論,構(gòu)造了求解的不動點算子,進而結(jié)合Opial -averaged定理,給出了求解所提凸優(yōu)化問題的不動點算法,并理論推導(dǎo)出了收斂條件,證明了算法的收斂性。與經(jīng)典文獻方法的對比實驗表明所提方法分割結(jié)果更精確。同時實驗顯示該文算法比梯度下降法和分裂Bregman方法更快速。另外,所提算法對初始曲線和噪聲有較好的魯棒性。
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    張澤均, 水鵬朗. 一種新的基于網(wǎng)格編碼和區(qū)域合并的SAR圖像快速分割算法[J]. 電子與信息學(xué)報, 2014, 36(4): 974-980.
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  • 加載中
計量
  • 文章訪問數(shù):  1334
  • HTML全文瀏覽量:  170
  • PDF下載量:  739
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2015-01-20
  • 修回日期:  2015-05-11
  • 刊出日期:  2015-10-19

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