Grayscale image connected components segmentation

Image analysis – Image segmentation – Region labeling

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

C382S168000, C382S170000, C382S171000

Reexamination Certificate

active

06898314

ABSTRACT:
A method and system of reading images. The method includes decimating an image and normalizing the decimated image. Then, rebinning grayscale pixel data associated with the decimated image and reassigning a selected range of grayscales representing a region of interest of the remapped grayscale pixel data to one while zeroing others. The method also includes labeling the connected pixels associated with the range of grayscales representing the region of interest and then extending the connected pixels through region growing using a preselected offset value. Lastly, the method includes filtering segmented regions of the connected pixels to eliminate certain candidates. The system is designed to implement the steps of the enumerated method.

REFERENCES:
patent: 4958064 (1990-09-01), Kirkpatrick
patent: 5481622 (1996-01-01), Gerhardt et al.
patent: 5579407 (1996-11-01), Murez
patent: 5594807 (1997-01-01), Liu
patent: 5809167 (1998-09-01), Al-Hssein
patent: 5818978 (1998-10-01), Al-Hssein
patent: 5909251 (1999-06-01), Guichard et al.
patent: 6141433 (2000-10-01), Moed et al.
patent: 6141460 (2000-10-01), Amer et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Grayscale image connected components segmentation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Grayscale image connected components segmentation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Grayscale image connected components segmentation will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-3386659

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.