A new automatic concavity extraction model

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn 2006, Issue , 2006, Pages 178-182

  Sirakov, Nikolay Metodiev ^a   Simonelli, Italo ^a  

^a TEXAS A AND M UNIVERSITY COMMERCE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONCAVITY EXTRACTIONS; TANGENT FORCES;

ALGORITHMS; DIFFERENTIAL EQUATIONS; FORCE MEASUREMENT; GEOMETRY; GROUNDWATER; MAGNETIC RESONANCE IMAGING; X RAYS;

IMAGE ANALYSIS;

EID: 33751063831     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. S. Antani, et al., "Evaluation of Shape Indexing Methods for Content-Based Retrieval of X-Ray Images", Proc. IS&T/ SPIE, Storage/Retrieval for Media Databases, v. 5032, 2003.
2. D. Androutsas, et al., "Image Retrieval Using Directional Detail Histograms". Proc. SPIE, Storage and Retrieval for Image and Video Databases VI, v. 3312, 1999, pp.129-137.
3. A. Del Bimbo and P. Pala, "Shape Indexing by Multi-Scale Representation", Image and Vision Computing, v. 17, n. 3-4, 1999, pp. 245-261.
4. R. Gonzalez, R. Woods, "Digital Image Processing" 2-nd ed., Prentice Hall, 2001.
5. L. Latecki, R. Lakämper, "Shape Description and Search for Similar Objects in Image Databases", Comp. Imaging and Vision, Kluwer Academic Pub, R. C. Veitkamp, H. Burkhardt, and H. P. Kriegel, eds, v. 22: State-of-the-Art in Content-Based Image and Video Retrieval, 2001, pp. 69-96.
6. J. L. Lisani, et al., "Affine Invariant Mathematical Morphology Applied to a Generic Shape Recognition Algorithm", Mathematical Morphology and its Applications to Image and Signal Proc., J. Goutsias, L. Vincent, D. S. Bloomberg (eds.), Kluwer Acad. Pub, 2000, pp. 91-98.
7. L. R. Long and G. R. Thoma, "Use of Shape Models to Search Digitized Spine X-Rays", Proc. IEEE Comp. Based Medical Systems, Houston, June 23-24, 2000, pp. 255-260.
8. L. R. Long and G. R. Thoma, "Segmentation and Feature Extraction of Cervical Spine X-Ray Images", Proc. of SPIE Medical Imaging: Image Processing, San Diego, CA, Feb. 20-26, v. 3661, 1999, pp. 1037-1046.
9. S. Tirthapura, et al., "Indexing Based on Edit-Distance Matching of Shape Graphs", Proc. SPIE Multimedia Storage and Archiving Sys. III (C. C. J. Kuo, et al., eds), v. 3527, 1998, pp. 25-36.
10. G. Zamora, H. Sari-Sarraf, S. Mitra, "Estimation of Orientation of Cervical Vertebrae for Segmentation with Active Shape Models", Proc. of SPIE Medical Imaging: Img. Proc., San Diego, CA, Feb. 17-23, 2001.
11. S. Yang and S. Mitra, "Statistical and Adaptive Approaches for Segmentation and Vector Source Encoding of Medical Images", Proc. of SPIE Medical Imaging: Image Proc, San Diego, v. 4684, Feb. 24-28, 2002, pp. 371-382.
12. N.M. Sirakov, "A New Active Convex Hull Model for Image Database's Search Space Partitioning", Proc of 2005 WCAC- VISION'05, In H.R. Arabnia, Xiangjing He, Tom Hintz, Qiang Wu (Ed), Las Vegas, June, 2005, pp. 134-140.
13. P. Mlsna, N.M. Sirakov, "An Intelligent Shape Features Extraction and Indexing System for Fast Medical Image Retrieval", Proc of IEEE SSIAI, March 28-30, Lake Tahoe, Nevada, 2004, pp. 172-176.
14. N.M. Sirakov, P. Mlsna, "Search Space Partitioning Using Convex Hull and Concavity Features for Fast Medical Image Retrieval", IEEE Int. Sym. on Biomedical Imaging: From Nano to Macro, Arlington, 2004, pp. 796-799.
15. T. Hoffmann, et al., "Unsupervised Segmentation of Textured Images by Pairwise Data Clustering", Proc. IEEE Int. Conf. on Image Proc, Lausanne, 1996, v. 3, pp. 137-140