Method for automatic segmentation of image data from...

Image analysis – Color image processing – Image segmentation using color

Reexamination Certificate

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C382S173000, C382S226000, C382S228000

Reexamination Certificate

active

06947590

ABSTRACT:
A method (300) and apparatus (400) is described for segmenting an image (102). Starting with each pixel of the image (102) being a separate region, segments are formed by merging the regions. As merging proceeds, a merging cost of the regions being merged generally increases. This increase however is not purely monotonic as the overall rise in the merging cost is punctuated by departures from monotonicity. A complete pass is made through the segmentation, in which all regions are merged until only one remains. By analysing the points immediately after significant departures from monotonicity, a final segmentation stopping value (λstop) is chosen as being the last return to monotonicity from such a significant departure. Segmentation is repeated until the merging cost reaches the final segmentation stopping value (λstop).

REFERENCES:
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patent: 5877998 (1999-03-01), Aidala et al.
patent: 199952618 (2000-04-01), None
patent: 0 579 319 (1998-04-01), None
IBM Technical Disclosure Bulletin, Dec. 1991, U.S., vol. 34, No. 7B, pp. 264-265.
Shen et al. (“Segmentation of 2D and 3D Images through a Hierarchical Clustering Based on Region Modeling,” Proc. Int'l Conf. On Image Processing, vol. 3, pp 50-53, Oct. 26-29, 1997).
Koepfler et al. (“A Multiscale Algorithm for Image Segmentation by Variational Method,” SIAM J. Numerical Analysis, vol. 31, No. 1 pp 282-299, Feb. 1994).
“Region-Based Representations of Image and Video: Segmentation Tools For Multimedia Services”, P. Salembier et al., IEEE Transactions On Circuits and Systems For Video Technology, vol. 9, No. 8, pp 1147-1169, Dec. 1999.

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