Method for sliding window image processing of associative operators
AssigneeXerox Corporation
InventorSidney W. Marshall
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AssigneeXerox Corporation
InventorSidney W. Marshall
Estimating the term…
A method for implementing sliding-window image processing for associative operators such as MIN, MAX, AND, and OR is disclosed. For one dimension, the present method divides the image into blocks according to the sliding window size and for each block calculates two sets of partial results, one working from the left boundary of the block and the other working from the right boundary of the block. The partial results from two adjacent blocks can then be combined in one operation to give a final value for any window straddling two adjacent blocks. The total number of operations is proportional to 3M; where M is the scan length as compared to (n−1)M using prior art; where n is the length of the sliding window. The present invention can be extended to two-dimensional arrays and can be extended to support arbitrary window sizes.
A method of implementing a sliding-window associative operation upon a set of data, the window used in the sliding-window associative operation having a first window dimensional length of m and a second window dimensional length of n, comprising:
A method of implementing a sliding-window associative operation upon a set of data, the window used in the sliding-window associative operation having a first window dimensional length of m and a second window dimensional length of n, comprising:
The method as claimed in clam 10, wherein the associative operation is a function to logically OR all data values within a window of data.
Dependencies are inferred from the claim text.