Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2005-11-11
2010-06-08
Couso, Yon (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
Reexamination Certificate
active
07734099
ABSTRACT:
Image objects within two-dimensional images are identified by locating boundary points that describe line segments that define a polygon outlining each object. Processing follows lines of pixels between boundary points to determine whether additional pixels are a part of the same image object by reference to a discriminator, such as color. Boundary points are thus identified for contiguous pixels and contiguous lines. Arm-like regions are identified by recursive analysis in a similar manner. The resulting boundary point list may serve to identify the image object, such as for labeling or tagging in web-based manuals, catalogs, and so forth.
REFERENCES:
patent: 5666439 (1997-09-01), Ishida et al.
patent: 5694486 (1997-12-01), Shigeeda et al.
patent: 5757961 (1998-05-01), Yamakawa et al.
patent: 6826500 (2004-11-01), Linthicum et al.
patent: 7269298 (2007-09-01), Tanaka
William O. McCallister et al., “Image Segmentation Using Dynamic Run-Length Coding Technique”, “Image Analysis”, 2003, pp. 343-348, vol. 2749, Springer-Verlag Berlin Heidelberg, XP002474204.
Alvy Ray Smith, “Tint Fill”, Siggraph 79, 1979, pp. 276-283, XP002474203.
Foley J. D. et al, “Computer Graphics Principles and Practice, second edition in C”, 1999, pp. 979-982, Addison-Wesley Publishing Company, XP002474205.
Couso Yon
General Electric Company
Patnode Patrick K.
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