Method and device for segmenting a point distribution

Details Method and device for segmenting a point distribution Method and device for segmenting a point distribution

2005-05-03

2005-05-03

Johns, Andrew W. (Department: 2621)

Image analysis

Image segmentation

C382S190000

Reexamination Certificate

active

06888965

ABSTRACT:
In order to segment a distribution of points into partial areas with predetermined structural elements, a feature vector ({right arrow over (x)}i) whose components are determined based on several scaling factors is ascertained for each point ({right arrow over (p)}i); the accompanying feature vectors ({right arrow over (p)}il) are determined for a predetermined number of reference points ({right arrow over (p)}il) for which the respective allocation to one of the structural elements is given, and texture classes each corresponding to the underlying structural elements are formed out of the feature vectors of the reference points; a distance to each of the texture classes is determined for all remaining points ({right arrow over (p)}iu) of the point distribution that are not reference points ({right arrow over (p)}iu); and the partial areas of the segmentation are formed out of the reference points respectively belonging to a texture class and the allocated points.

REFERENCES:
patent: 5577131 (1996-11-01), Oddou
patent: 5822466 (1998-10-01), Morfill et al.
patent: 5825909 (1998-10-01), Jang
patent: 5923780 (1999-07-01), Morfill et al.
patent: 6192150 (2001-02-01), Leow et al.
patent: 6396952 (2002-05-01), Horikawa et al.
patent: 6516093 (2003-02-01), Pardas et al.
patent: 6625333 (2003-09-01), Wang et al.
patent: 6693962 (2004-02-01), Murching et al.
patent: 6803919 (2004-10-01), Kim et al.
patent: 6813379 (2004-11-01), Kawada et al.
patent: 43 17 746 (1984-12-01), None
patent: 196 33 693 (1997-11-01), None
M. Tuceryan et al., Handbook of Pattern Recognition and Computer Vision, “Texture Analysis”, World Scientific, Publishing, 1993, pp 235-276.
R. C. Dubes, Handbook of Pattern Recognition and Computer Vision, “Cluster Analysis and Related Issues”, World Scientific Publishing, 1993, pp 3-32.
R. M. Haralick, Proceedings of the IEEE, “Statistical and Structural Approaches to Texture”, vol. 67, No. 5, May 1979, pp 786-804.
F. W. Campbell et al., J. Physiol, “Application of Fourier Analysis of the Visibility of Gratings”, vol. 197, 1968, pp 551-566.
R. De Valois et al., Vision Res., “Spatial Frequency Selectivity of Cells in Macaque Visual Cortex”, vol. 22, 1982, pp 545-559.
A.K. Jain et al., Pattern Recognition, “Unsupervised Texture Segmentation Using Gabor Filters”, vol. 24, No. 12, 1991, pp 1167-1186.
B.D. Ripley, “Pattern Recognition and Neural Networks”, Cambridge University Press 1996.
A.M. Bensaid et al., Pattern Recognition, “Partially Supervised Clustering for Image Segmentation” vol. 29, 1996, pp 859-871.
L. Abele, “Bildsegmentation mettals struktureller Texturanalyse”, Springer-Verlag, 1979, pp. 269-279 (with abstract).
O. Pichler et al., “Rotations-und skalenivariante Texursegmentierung mit Mehrkanalfilterung”, 1997, pp 79-86 (with abstract).
T. Randen, J.H. Husoy, IEEE Transactions on Pattern Analysis and Machine Intelligence, “Filtering for Texture Classification: A Comparative Study”, vol. 21, No. 4, pp. 291-310.
Bela Julesz, Review of Modern Physics, “Early Vision and Focal Attention”, vol. 63, 1991, pp 735-772.
Y. Hu et al., IEE Proc.-Vis. Image Signal Process., “Textured Image Segmentation by Context Enhanced Clustering”, vol. 141 No. 6, Dec. 1994, pp 413-421.
D.H. Ballard et al., Computer Vision, “Texture as a Pattern Recognition Problem”, pp 181-184.
I. Pitas et al., IEE, “Texture Analysis and Segmentation of Seismic Images”, Conf. 14, 1989, pp 1437-1440.

Affiliated with

Also associated with

Rating

Method and device for segmenting a point distribution does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Method and device for segmenting a point distribution, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method and device for segmenting a point distribution will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-3421281