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文件名称: 图像分割方法的研究现状与展望.pdf
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  上传时间: 2019-07-21
  提 供 者: wzcki*****
 详细说明:图像分割的一篇很好的论文,其中算法在图像分割识别方面有很好的借鉴意义(作者罗西平)17 ISODATA 6] BD BD GD GD 19] (EIM) EIM 130」 GALAMBOSC 31 [5 36 Sobel C1994-2010cHinaAcademicJournalelEctronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 18 l38 LORENZ Thomas 41 JinSangKIM (SOFM) Hopfield [13] apamarkes [47 C C1994-2010cHinaAcademicJournalelEctronicPublishingHouse.Allrightsreservedhttp://www.cnki.net Gabor Shannon Gah Gabe 2 (CT) 1998.11(3):352-358 999,10(6):111 LJ 1999,28(4):20-2 5」 2001,38(8):972-976. [6] J」 1999,27(1):20-2 2001,38(5):563-567 000,13(1):42-45 [9] 2001,13(2):118-12 「10l 1999,12(3):329-333 [1l] 2001,20(3):211-21 [12] 2001,38(8):972-976. [ 13] Chen Zi-kuan, TAO Yang CHEN Xin, etal. Wavelet Based Adaptive Thresholding Method for Image Segmentation[ J]. Optical Engineering,2001,40(5):868-874 「J. 1999,12(1):79-84 [15] 2000,5(5):390-395 [16] 2000,5(1):44-47. 17] 1999,27(8):54-58 1999,12(1):79-8 「19 IJI 199,4(1):7-11 [20] [J] 998,2(1):45-47 [2l] 2001,14(4):481-485 C1994-2010cHinaAcademicJournalelEctronicPublishingHouse.Allrightsreservedhttp://www.cnki.net 0 [22 ,1999,25(6):12-1 2001,27(5):24-426 2000,8(3):100-103 [J] 1999,23(1):16-20 [26] 2003,3(5):830-835 27] 2002,7(2):145-149 28] BI 1998,11(4):434-441 「J1 2001,18(4):478-500 [30] 1998,11(1)54-61 [31] GALAMBOSC. KITTLER, MATASJ. Gradient Based Progressive Probal Listic Hough Transform[J]. Image Signal Process, 2001 148(3):158-165 [32] ,2000,(2):12-16 「331 ,1999,19(3):10-18. 1999,16(1):52-57 2,34(2):10-1 36 1999,10(4):21-25. [J] ,2003,24(1):107-112 [38] 冂]. ,1999,24(7):770-775 [39 LORENZ Thomas. SeLValued Mapslor Image SegmenlalionLJ]. Compuling and Visualization Science, 2001(5): 45-57 1998,20(4):21-27 41 ,1999,7(2):111-1 42] FCM 1998,11(4):462-467 LJT ),1999(1):12-16 44KIM Jinsang, CHEN ToIl. Multiple Fealure Clustering for Image Sequence Segmentation Pallern recognilion lellers 2001,(22):1207-1217 「45l Hopfield 1998.11(2):215-221. IJI [471 Papamarkes N Gatos B. Anew Approach for Multilevel Threshold Selection CVGIPIJI. Graphical Models and Image Process 199456(5):357-3 [48] Olivo J C. Automatic: Threshold Selection Using the Wavelet Transform CVGIPLJ] Graphical Models and Image Process, 1994, 56 (5):357-370 49 2000,23(7):763-767 50 Kenneth R Castleman ,1988. [5l] ,2001(3):91-93 52] Shannon 1998 26(10):31-40. Research and Prospect on Image Segmental methods LE Song-jin, WU He-lei, FU Yong-fen College of Information Engineering, Nanchang University Nanchang 330029, China) Abstract The image segmentation is a key technology for image processing, also is a classical, difficult problem for researchers. No method which is fit for all segmentation problems has been found and no criterion for judging is established since this research started. In this paper, an overview on image segmentation methods and some new methods appeared recently are introduced respectively. Finally, The prospect of the image segmentation technology is discussed. It is heuristic for those who are studying image processing Key words: image segmentation survey prospect C1994-2010cHinaAcademicJournalelEctronicPublishingHouse.Allrightsreservedhttp://www.cnki.net
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