Image analysis – Histogram processing – For setting a threshold
Patent
1992-07-28
1994-09-27
Chin, Stephen
Image analysis
Histogram processing
For setting a threshold
382 14, 382 44, G06K 900
Patent
active
053513118
ABSTRACT:
A network is provided for the detection and correction of local boundary misalignments in a two-dimensional pixel space between a reference and transformed image. An input layer has input layer sections, each of which contains a plurality of input nodes associated with a cell. The cell is centered on a pixel and divided along a straightline orientation into first and second cell sections. Each of the input nodes outputs a digital signal indicative of the presence or absence of a contrast gradient as measured by the two cell sections. A second layer has a plurality of second layer sections, each of which is associated with one of the input layer sections and contains a plurality of second layer nodes. Each second layer node is responsive to a combination of input nodes to indicate the presence or absence of a boundary misalignment between the reference and transformed images. Presence of a contrast gradient at the combination of nodes defines a local boundary misalignment. A third layer has a plurality of third layer nodes, each of which is associated with one of the second layer sections. Each third layer node weights and combines outputs of the second layer nodes to output a signal defining a direction to shift the transformed image perpendicular to the straightline orientation. The third layer are outputs a signal defining the local correction of the local boundary misalignment between the reference and transformed images for the centered pixel.
REFERENCES:
patent: 4204193 (1980-05-01), Schroeder
patent: 4803736 (1989-02-01), Grossberg et al.
patent: 5109425 (1992-04-01), Lawton
patent: 5153923 (1992-10-01), Matsuba et al.
patent: 5168530 (1992-12-01), Peregrim
Moura et al., "Edge Detection Through Cooperation and Competition", 1991, . 2588-2593.
Invariant Recognition of Cluttered Scenes by a Self-Organizing ART Architecture: CORT-X Boundary Segmentation by Gail A. Carpenter, Stephen Grossberg, and Courosh Mehanian, (1988), pp. 169-176.
Aggregating Signals From: Analog VLSE and Neural Systems by Carver Mead, Addison-Wesley, (1989).
Poston Wendy L.
Priebe Carey E.
Rogers George W.
Solka Jeffrey L.
Vermillion Donald
Chin Stephen
May Timothy J.
Shuster Jacob
The United States of America as represented by the Secretary of
LandOfFree
Neural network for detection and correction of local boundary mi does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Neural network for detection and correction of local boundary mi, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural network for detection and correction of local boundary mi will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-1270806