一级黄色片免费播放|中国黄色视频播放片|日本三级a|可以直接考播黄片影视免费一级毛片

高級搜索

留言板

尊敬的讀者、作者、審稿人, 關(guān)于本刊的投稿、審稿、編輯和出版的任何問題, 您可以本頁添加留言。我們將盡快給您答復(fù)。謝謝您的支持!

姓名
郵箱
手機(jī)號碼
標(biāo)題
留言內(nèi)容
驗(yàn)證碼

一種基于相對模糊連通度的交互式序列圖像快速分割算法

田春娜 高新波 哈力旦.A

田春娜, 高新波, 哈力旦.A. 一種基于相對模糊連通度的交互式序列圖像快速分割算法[J]. 電子與信息學(xué)報(bào), 2005, 27(10): 1549-1554.
引用本文: 田春娜, 高新波, 哈力旦.A. 一種基于相對模糊連通度的交互式序列圖像快速分割算法[J]. 電子與信息學(xué)報(bào), 2005, 27(10): 1549-1554.
Tian Chun-na, Gao Xin-bo, Halidan.A. A Fast Interactive Segmentation Algorithm of Image Sequences Based on Relative Fuzzy Connectedness[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1549-1554.
Citation: Tian Chun-na, Gao Xin-bo, Halidan.A. A Fast Interactive Segmentation Algorithm of Image Sequences Based on Relative Fuzzy Connectedness[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1549-1554.

一種基于相對模糊連通度的交互式序列圖像快速分割算法

A Fast Interactive Segmentation Algorithm of Image Sequences Based on Relative Fuzzy Connectedness

  • 摘要: 在基于相對模糊連通度的交互式圖像分割方法的基礎(chǔ)上提出了一種序列圖像分割的快速算法。對于單幅圖像,新算法在保持分割精度的同時(shí),運(yùn)行速度提高了3倍。作為該算法的擴(kuò)展,一方面將原算法中單目標(biāo)分割推廣到多目標(biāo)分割,另一方面將單幀圖像的分割推廣到序列圖像的分割,實(shí)現(xiàn)了復(fù)雜背景下多目標(biāo)的圖像分割和圖像序列的批處理分割。并進(jìn)行了分割結(jié)果的后處理,提取出目標(biāo)的單像素寬度的光滑邊緣。用人造圖像和實(shí)際的醫(yī)學(xué)圖像和圖像序列所做的測試實(shí)驗(yàn)取得了令人滿意的分割結(jié)果。
  • Pal N R, Pal S K. A review of image segmentation techniques[J].Pattern Recognition.1993, 26(9):1277-1294[2]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.[3]Falco A X, Udupa J K, Samarasekera S, Sharma S. User-steered image segmentation paradigms: Live Wire and Live Lane[J].Graphical Models and Image Processing.1998, 60(4):233-260[4]李培華, 張?zhí)镂? 主動(dòng)輪廓線模型(蛇模型)綜述. 軟件學(xué)報(bào), 2000, 11(6): 751- 757.[5]高新波, 雷云, 姬紅兵. 一種改進(jìn)的Live-Wire交互式圖像分割算法. 系統(tǒng)工程與電子技術(shù), 2003, 25(8): 915-917.[6]Canny J. A computational approach to edge detection. IEEE Trans. on PAM, 1986, 8(6): 679-698.[7]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):246-261[8]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):145-174[9]Carvalho B M, Gau C J, Herman G T, Kong T Y. Algorithms for fuzzy segmentation[J].Pattern Analysis Applications.1999, 2(1):73-81[10]Lin Yao, Tian Jie, He Huiguang. Image segmentation via fuzzy object extraction and edge detection and its medical application.[11]Journal of X-Ray Science and Technology, 2002, 10(1): 95-106.[12]Udupa J K, Saha P K, Lotufo R A. Fuzzy connected object definition in images with respect to co-objects. Medical Imaging,[13]99, SPIE Proceedings, San Diego, CA, 1999, 236-245.[14]Saha P K, Udupa J K. Iterative relative fuzzy connectedness and object definition: Theory, algorithms, and applications in image segmentation. Mathematical Methods in Biomedical Image Analysis, 2000, Proceedings of IEEE, Hilton Head, South Carolina, 2000: 28-35.[15]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):1485-1500[16]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.[17]陳士金, 湯漾平, 鄧勇. 基于鏈碼的輪廓跟蹤技術(shù)在二值圖像中的應(yīng)用. 華中理工大學(xué)學(xué)報(bào), 1998, 26(12): 26-28.[18]Pavlidis T. Algorithms for Graphics and Image Processing. Rockville, MD, USA: Computer Science Press, 1982: 199-273.
  • 加載中
計(jì)量
  • 文章訪問數(shù):  2288
  • HTML全文瀏覽量:  122
  • PDF下載量:  728
  • 被引次數(shù): 0
出版歷程
  • 收稿日期:  2004-05-08
  • 修回日期:  2004-08-23
  • 刊出日期:  2005-10-19

目錄

    /

    返回文章
    返回