1 @InProceedings{ AllainBG08,
2 author = "Marc Allain and Nicolas Bertaux and Fr{\'e}d{\'e}ric Galland",
3 title = "Nonparametric Level-Set Segmentation Based on the Minimization of the Stochastic Complexity",
7 ee = "http://dx.doi.org/10.1007/978-3-540-88458-3_46",
8 crossref = "DBLP:conf/acivs/2008",
9 bibsource = "DBLP, http://dblp.uni-trier.de"
13 author = "Michael Kass and Andrew P. Witkin and Demetri Terzopoulos",
14 title = "Snakes: Active contour models",
15 journal = "International Journal of Computer Vision",
20 ee = "http://dx.doi.org/10.1007/BF00133570",
21 bibsource = "DBLP, http://dblp.uni-trier.de"
25 author = "Chenyang Xu and Jerry L. Prince",
26 title = "Snakes, shapes, and gradient vector flow",
27 journal = "IEEE Transactions on Image Processing",
32 bibsource = "DBLP, http://dblp.uni-trier.de",
33 ee = "http://dx.doi.org/10.1109/83.661186"
36 @Article{ GallandBR03,
37 author = "Fr{\'e}d{\'e}ric Galland and Nicolas Bertaux and Philippe R{\'e}fr{\'e}gier",
38 title = "Minimum description length synthetic aperture radar image segmentation",
39 journal = "IEEE Transactions on Image Processing",
44 ee = "http://dx.doi.org/10.1109/TIP.2003.816005",
45 bibsource = "DBLP, http://dblp.uni-trier.de"
49 location = "http://www.scientificcommons.org/41680702",
50 title = "GPU-Accelerated Contour Extraction on Large Images Using Snakes",
51 author = "Enrico {Dipl.-Inf. Kienel} and Guido {Prof. Dr. Brunnett}",
53 keywords = "Active Contours, GPGPU, Gradient Vector Flow, Image Segmentation, Snakes, Tiling, 004",
54 abstract = "Abstract. Active contours have been proven to be a powerful semiautomatic image segmentation approach, that seems to cope with many applications and different image modalities. However, they exhibit inherent drawbacks, including the sensibility to contour initialization due to the limited capture range of image edges and problems with concave boundary regions. The Gradient Vector Flow replaces the traditional image force and provides an enlarged capture range as well as enhanced concavity extraction capabilities, but it involves an expensive computational effort and considerably increased memory requirements at the time of computation. In this paper, we present an enhancement of the active contour model to facilitate semiautomatic contour detection in huge images. We propose a tile-based image decomposition accompanying an image force computation scheme on demand in order to minimize both computational and memory requirements. We show an efficient implementation of this approach on the basis of general purpose GPU processing providing for continuous active contour deformation without a considerable delay.",
55 publisher = {TU Chemnitz, Fakult{\"a}t f{\"u}r Informatik},
56 url = "http://archiv.tu-chemnitz.de/pub/2009/0035",
57 institution = "MONARCH - Dokumenten- und Publikationsservice [http://archiv.tu-chemnitz.de/cgi-bin/interfaces/oai/oai2.pl] (Germany)"
60 @Article{ ChesnaudRB99,
61 author = "Christophe Chesnaud and Philippe R{\'e}fr{\'e}gier and Vlady Boulet",
62 title = "Statistical Region Snake-Based Segmentation Adapted to Different Physical Noise Models",
63 journal = "IEEE Trans. Pattern Anal. Mach. Intell.",
68 ee = "http://www.computer.org/tpami/tp1999/i1145abs.htm",
69 bibsource = "DBLP, http://dblp.uni-trier.de"
73 author = "Olivier Germain and Philippe R{\'e}fr{\'e}gier",
74 title = "Statistical active grid for segmentation refinement",
75 journal = "Pattern Recognition Letters",
80 bibsource = "DBLP, http://dblp.uni-trier.de"
84 author = "Olivier Ruch and Philippe R{\'e}fr{\'e}gier",
85 title = "Minimal-complexity segmentation with a polygonal snake adapted to different optical noise models",
86 journal = "Optics Letters",
91 ee = "http://www.computer.org/tpami/tp1999/i1145abs.htm",
92 bibsource = "DBLP, http://dblp.uni-trier.de"
95 @TechReport{ BlellochTR90,
96 author = "Guy~E. Blelloch",
97 title = "Prefix Sums and Their Applications",
98 institution = "School of Computer Science, Carnegie Mellon University",
99 number = "CMU-CS-90-190",
105 author = "Mark Harris and Shubhabrata Sengupta and John D. Owens",
106 title = "Gpu gems 3",
108 isbn = "9780321545428",
110 publisher = "Addison-Wesley Professional",
111 chapter = "39 - Parallel Prefix Sum with CUDA"
115 title = "NVIDIA CUDA C Programming Guide v3.1.1",
116 organization = "NVIDIA Corporation",
122 title = "NVIDIA Fermi Compatibility Guide",
123 organization = "NVIDIA Corporation",
129 title = "NVIDIA Fermi Tuning Guide",
130 organization = "NVIDIA Corporation",