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基于冗余小波變換的相對(duì)模糊連通圖像交互式分割算法

田春娜 高新波

田春娜, 高新波. 基于冗余小波變換的相對(duì)模糊連通圖像交互式分割算法[J]. 電子與信息學(xué)報(bào), 2006, 28(12): 2287-2291.
引用本文: 田春娜, 高新波. 基于冗余小波變換的相對(duì)模糊連通圖像交互式分割算法[J]. 電子與信息學(xué)報(bào), 2006, 28(12): 2287-2291.
Tian Chun-na, Gao Xin-bo. Relative Fuzzy Connected Interactive Image Segmentation Algorithm Based on Redundant Wavelet Transform[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2287-2291.
Citation: Tian Chun-na, Gao Xin-bo. Relative Fuzzy Connected Interactive Image Segmentation Algorithm Based on Redundant Wavelet Transform[J]. Journal of Electronics & Information Technology, 2006, 28(12): 2287-2291.

基于冗余小波變換的相對(duì)模糊連通圖像交互式分割算法

Relative Fuzzy Connected Interactive Image Segmentation Algorithm Based on Redundant Wavelet Transform

  • 摘要: 為了提高圖像分割算法的抗噪聲性能,該文提出一種基于冗余小波變換的相對(duì)模糊連通圖像交互式分割算法。與文獻(xiàn)中基于尺度的相對(duì)模糊連通交互式分割算法相比,新算法在幾乎不改變分割效果的前提下,速度提高了十幾倍,且對(duì)不同的噪聲模型均具有較好的魯棒性。此外,文中還對(duì)小波變換的不同尺度對(duì)圖像分割效果的影響進(jìn)行了較為系統(tǒng)地研究。用人造圖像和實(shí)際的醫(yī)學(xué)圖像所做的測(cè)試實(shí)驗(yàn)結(jié)果表明,該文提出的新算法可實(shí)現(xiàn)對(duì)非噪聲和噪聲圖像中感興趣目標(biāo)的快速而準(zhǔn)確的分割。
  • 羅希平, 田捷, 諸葛嬰等. 圖像分割方法綜述. 模式識(shí)別與人工智能, 1999, 12(3): 300-312.[2]Hans Meine, Ullrich Kothe, Siegfried Stiehl H. Fast and accurate interactive image segmentation in the GeoMap framework. Proc. Bildverarbeitung fur die Medizin 2004, Heidelberg, Springer- Verlag, 2004: 60.64.[3]Falcao A X, Udupa J K, Samarasekera S, Sharma S. User-steeredimage segmentation paradigms: Live Wire and Live Lane[J].Graphical Models and Image Processing.1998, 60(4):233-[4]崅怴攇, 棆塢, ..暫. 堦.夵.揑Live-Wire岎屳幃.憸暘妱嶼朄. 宯.岺掱梌.巕媄., 2003, 25(8): 915.917.[5]棝攟., .揷暥. 庡..奻.柾宆(幹柾宆).弎. .審?qiáng)w., 2000, 11(6): 751.757.[6]Udupa J K, Samarasekera S. Fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation[J].Graphical Models and Image Processing.1996, 58(3):246-[7]Saha P K, Udupa J K, Odhner D. Scale-based fuzzy connected image segmentation: Theory, algorithms, and validation[J].Computer Vision and Image Understanding.2000, 77(2):145-[8]Carvalho B M, Gau C J, Herman G T, Kong T Y. Algorithms for fuzzy segmentation[J].Pattern Analysis Applications.1999, 2(1):73-[9]Lin Y, Tian J, He H G. Image segmentation via fuzzyobject extraction and edge detection and its medical application. Journal of X-Ray Science and Technology, 2002, 10(1): 95.106.[10]Udupa J K, Saha P K, Lotufo R A. Fuzzy connected object definition in images with respect to co-objects. Medical Imaging, 1999, SPIE Proceedings, San Diego, CA, 1999: 236.245.[11]Udupa J K, Saha P K, Lotufo R A. Relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2002, 24(11):1485-[12]Udupa J K, Saha P K. Fuzzy connectedness and image segmentation. Parallel and Large-Data Visualization and Graphics, 2003, Proceedings of the IEEE, Seattle, WA, USA, 2003: 1649.1669.[13]Sheng Y. Wavelet Transform. Boca Raton, Florida: CRC Press, 1996: 747.827.[14]揷弔汸, 崅怴攇, 欫椡扷A. 堦.婎槹憡.柾屝.捠搙揑岎屳幃彉楍.憸夣懍暘妱嶼朄. .巕梌怣懅妛., 2005, 27(10): 1549.1554
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  • 收稿日期:  2005-03-15
  • 修回日期:  2005-09-26
  • 刊出日期:  2006-12-19

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