Efficient circular-shape object segmentation method for adjacent objects

[1]  Xiaobo Zhou,et al.  Automatic Segmentation of High-Throughput RNAi Fluorescent Cellular Images , 2008, IEEE Transactions on Information Technology in Biomedicine.

[2]  Wen-June Wang,et al.  A novel edge detection method based on the maximizing objective function , 2007, Pattern Recognit..

[3]  Edward Ng,et al.  SEGMENTATION OF BREAST THERMOGRAM: IMPROVED BOUNDARY DETECTION WITH MODIFIED SNAKE ALGORITHM , 2006 .

[4]  NG EDDIEY.-K.,et al.  SEGMENTATION OF BREAST THERMOGRAM : IMPROVED BOUNDARY DETECTION WITH MODIFIED SNAKE ALGORITHM , 2006 .

[5]  Vladimir Kolmogorov,et al.  "GrabCut": interactive foreground extraction using iterated graph cuts , 2004, ACM Trans. Graph..

[6]  Vladimir Kolmogorov,et al.  Spatially coherent clustering using graph cuts , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[7]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[8]  L. H. Finkel,et al.  Curvature covariation as a factor in perceptual salience , 2003, First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings..

[9]  In-So Kweon,et al.  Erratum to: "A fast and stable snake algorithm for medical images" [Pattern Recognition Letters 20 (5) (1999) 507-512] , 1999, Pattern Recognit. Lett..

[10]  Dorin Comaniciu,et al.  Mean shift analysis and applications , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[11]  Dong Joong Kang,et al.  A fast and stable snake algorithm for medical images , 1999, Pattern Recognition Letters.

[12]  Dorin Comaniciu,et al.  Robust analysis of feature spaces: color image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  N. Baba,et al.  Image area extraction of biological objects from a thin section image by statistical texture analysis. , 1996, Journal of electron microscopy.

[14]  Michael Unser,et al.  Texture classification and segmentation using wavelet frames , 1995, IEEE Trans. Image Process..

[15]  Laurent Najman,et al.  Watershed of a continuous function , 1994, Signal Process..

[16]  B. Chanda,et al.  A note on the use of graylevel co-occurence matrix in threshold selection , 1988 .

[17]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[18]  E. Catmull,et al.  A CLASS OF LOCAL INTERPOLATING SPLINES , 1974 .