Segmentation of range images via data fusion and morphological watersheds

Pattern Recognition

Volumn 29, Issue 10, 1996, Pages 1673-1687

  Baccar, Mohamed ^a   Gee, Linda A ^a   Gonzalez, Ralph C ^a   Abidi, Mongi A ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Data fusion; Gaussian weighted least squares; Range image; Segmentation; Watershed morphology

Indexed keywords

ALGORITHMS; COMPUTER VISION; EDGE DETECTION; IMAGING TECHNIQUES; LEAST SQUARES APPROXIMATIONS; MORPHOLOGY; PROXIMITY SENSORS; SENSOR DATA FUSION;

GAUSSIAN WEIGHTED LEAST SQUARES; RANGE IMAGE; ROOF EDGES; SINGLE EDGE MAP; TROUGH EDGES;

IMAGE SEGMENTATION;

COMPUTER IMAGING; DATA FUSION; RANGE IMAGE; SEGMENTATION; WATERSHED MORPHOLOGY;

EID: 0030265481     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(96)00022-2     Document Type: Article

References (22)

1. K. S. Fu, R. C. Gonzalez and C. S. G. Lee, Introduction to Robotics: Control, Sensing, Vision and Intelligence. McGraw-Hill, New York, (1987).
2. M. Suk and S. M. Bhandarkar, Three-Dimensional Object Recognition from Range Images. Springer-Verlag, New York (1992).
3. P. J. Besl, Surfaces in Range Image Understanding. Springer-Verlag, New York (1986).
4. F. J. Sweeny, Random and systematic errors in laser range camera data, Proc. 39th Conf. Remote Syst. Technol. (November 1991).
5. M. A. Abidi and R. C. Gonzalez (eds), Data Fusion in Robotics and Machine Intelligence. Academic Press, Boston, Massachusetts (1992).
6. M. A. Abidi, R. O. Eason and R. C. Gonzalez, Autonomous robotics inspection and manipulation using multisensor feedback, IEEE Comp. 24(4), 17-31 (April 1991).
7. M. A. Abidi and R. C. Gonzalez, The use of multisensors data for robotic applications, IEEE Trans. Robot. Automat. RA-6(2), 159-177 (April 1990).
8. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Addison-Wesley, Reading, Massachusetts (1992).
9. E. R. Dougherty, An Introduction to Morphological Image Processing. SPIE, Bellingham, Washington (1992).
10. P. J. Besl, Active optical range imaging, Advances in Machine Vision, J. L. C. Sanz (ed.), pp. 1-53. Springer-Verlag, New York (1989).
11. Odetics, Inc., 3-D Laser Imaging System User's Guide. Anaheim, California (1990).
12. P. J. Besl and R. C. Jain, Invariant surface characteristics for 3-D object recognition in range images, Comput. Vis. Graphics Image Process. 33, 33-80 (June 1985).
13. P. J. Besl and R. C. Jain, Segmentation through variable-order surface fitting, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-10(3), 167-192 (March 1988).
14. R. M. Bolle and D. B. Cooper, Bayesian recognition of local 3-D shape by approximating image intensity functions with quadric polynomials, IEEE Trans. Pattern Anal. Mach. Intell. PAMI-6(4), 418-429 (April 1984).
15. R. M. Haralick and L. G. Shapiro, Survey: image segmentation techniques, Computer Vis. Graphics Image Process. 29, 100-132 (1984).
16. R. L. Burden, Numerical Analysis, 4th edn. PWS-KENT, Boston, Massachusetts, (1986).
17. R. C. Mann, Multisensor integration using concurrent computing, SPIE Proc. Infrared Sensors and Sensor Fusion 782, 83-90 (April 1987).
18. M. Abdulghafour, J. Goddard and M. A. Abidi, Non-deterministic approaches in data fusion - a review SPIE Proc. Sensor Fusion 1393, 596-610 (November 1990).
19. J. O. Berger, Statistical Decision Theory and Bayesian Analysis. Springer-Verlag, New York (1985).
20. A. Elfes, A tesselated probabilistic representation for spatial robot perception and navigation, Proc. NASA Conf. Space Telerobot. 1-10 Pasadena, California (February 1989).
21. G. Shafer, A Mathematical Theory of Evidence. Princeton University Press, Princeton, New Jersey (1976).
22. J. C. Russ, Image Processing Handbook. CRC Press, Boca Raton, Florida (1992).