|Image Processing Toolbox User's Guide|
For a distinct block operation,
colfilt creates a temporary matrix by rearranging each block in the image into a column.
colfilt pads the original image with 0's, if necessary, before creating the temporary matrix.
The following figure illustrates this process. A 6-by-16 image matrix is processed in 4-by-6 blocks.
colfilt first zero-pads the image to make the size 8-by-18 (six 4-by-6 blocks), and then rearranges the blocks into six columns of 24 elements each.
colfilt Creates a Temporary Matrix for Distinct Block Operation
After rearranging the image into a temporary matrix,
colfilt passes this matrix to the function. The function must return a matrix of the same size as the temporary matrix. If the block size is
n, and the image is
nn, the size of the temporary matrix is
ceil(mm/m)*ceil(nn/n)). After the function processes the temporary matrix, the output is rearranged into the shape of the original image matrix.
This example sets all the pixels in each 8-by-8 block of an image to the mean pixel value for the block, producing the same result as the
blkproc example in Distinct Block Operations.
I = im2double(imread('tire.tif')); f = inline('ones(64,1)*mean(x)'); I2 = colfilt(I,[8 8],'distinct',f);
Notice that the inline function computes the mean of the block and then multiplies the result by a vector of ones, so that the output block is the same size as the input block. As a result, the output image is the same size as the input image.
You can use
colfilt to implement many of the same distinct block operations that
blkproc performs. However,
colfilt has certain restrictions that
blkproc does not:
For situations that do not satisfy these constraints, use
|Sliding Neighborhoods||Function Reference|
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