Iterative predictor-based detection of image frame locations

Facsimile and static presentation processing – Facsimile – Recording apparatus

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

355 40, 347225, B41J 247, G03B 2752, H04N 121, H04N 123

Patent

active

055964150

ABSTRACT:
Locations of respective image frames contained on an image recording, such as a continuous color photographic film strip scanned by digitizing opto-electronic scanner are identified by storing scanline data produced by the scanner in a digital database, and processing the stored scanline data in accordance with set of image frame identification operators, which iteratively identify locations of nominally valid frames, beginning with the identification of all well formed frames. Each well formed frame has prescribed image frame attributes including at least a spatial region of image modulance bounded by leading and trailing edges adjacent to Dmin interframe gaps. The iterative identification procedure includes `chopping` less than well formed frames, sorting frame regions based upon geometry considerations and identifying and adjusting the size of oversized and undersize frames. To reduce computational complexity a set of image frame-based `predictors` and an associated set of thresholds are used in the iterative search and sort process.

REFERENCES:
patent: 4947205 (1990-08-01), Benker et al.
patent: 5157482 (1992-10-01), Cosgrove
patent: 5260740 (1993-11-01), Seto
patent: 5337164 (1994-08-01), Yabe

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

Iterative predictor-based detection of image frame locations does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Iterative predictor-based detection of image frame locations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Iterative predictor-based detection of image frame locations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-2328479

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