S = qtdecomp(I)
S = qtdecomp(I, threshold)
S = qtdecomp(I, threshold, mindim)
S = qtdecomp(I, threshold, [mindim maxdim])
S = qtdecomp(I, fun)
qtdecomp divides a square image into four
equal-sized square blocks, and then tests each block to see if it
meets some criterion of homogeneity. If a block meets the criterion,
it is not divided any further. If it does not meet the criterion,
it is subdivided again into four blocks, and the test criterion is
applied to those blocks. This process is repeated iteratively until
each block meets the criterion. The result can have blocks of several
S = qtdecomp(I) performs
a quadtree decomposition on the intensity image
returns the quadtree structure in the sparse matrix
S(k,m) is nonzero, then
the upper left corner of a block in the decomposition, and the size
of the block is given by
S(k,m). By default,
a block unless all elements in the block are equal.
S = qtdecomp(I, threshold) splits
a block if the maximum value of the block elements minus the minimum
value of the block elements is greater than
specified as a value between 0 and 1, even if
the threshold value you supply is multiplied by 255 to determine the
actual threshold to use; if
the threshold value you supply is multiplied by 65535.
S = qtdecomp(I, threshold, mindim) will
not produce blocks smaller than
mindim, even if
the resulting blocks do not meet the threshold condition.
S = qtdecomp(I, threshold, [mindim
maxdim]) will not produce blocks smaller than
maxdim. Blocks larger than
split even if they meet the threshold condition.
be a power of 2.
S = qtdecomp(I, fun) uses
fun to determine whether to split
all the current blocks of size
k is the number of
k-element vector, whose values are 1
if the corresponding block should be split, and 0 otherwise. (For
k(3) is 0, the third
should not be split.)
fun must be a
Functions, in the MATLAB Mathematics documentation, explains
how to provide additional parameters to the function
For the syntaxes that do not include a function, the input image
can be of class
double. For the syntaxes that include a function,
the input image can be of any class supported by the function. The
output matrix is always of class
I = uint8([1 1 1 1 2 3 6 6;... 1 1 2 1 4 5 6 8;... 1 1 1 1 7 7 7 7;... 1 1 1 1 6 6 5 5;... 20 22 20 22 1 2 3 4;... 20 22 22 20 5 4 7 8;... 20 22 20 20 9 12 40 12;... 20 22 20 20 13 14 15 16]); S = qtdecomp(I,.05); disp(full(S));
View the block representation of quadtree decomposition.
I = imread('liftingbody.png'); S = qtdecomp(I,.27); blocks = repmat(uint8(0),size(S)); for dim = [512 256 128 64 32 16 8 4 2 1]; numblocks = length(find(S==dim)); if (numblocks > 0) values = repmat(uint8(1),[dim dim numblocks]); values(2:dim,2:dim,:) = 0; blocks = qtsetblk(blocks,S,dim,values); end end blocks(end,1:end) = 1; blocks(1:end,end) = 1; imshow(I), figure, imshow(blocks,)
The following figure shows the original image and a representation of the quadtree decomposition of the image.
qtdecomp is appropriate primarily for square
images whose dimensions are a power of 2, such as 128-by-128 or 512-by-512.
These images can be divided until the blocks are as small as 1-by-1.
If you use
qtdecomp with an image whose dimensions
are not a power of 2, at some point the blocks cannot be divided further.
For example, if an image is 96-by-96, it can be divided into blocks
of size 48-by-48, then 24-by-24, 12-by-12, 6-by-6, and finally 3-by-3.
No further division beyond 3-by-3 is possible. To process this image,
you must set
mindim to 3 (or to 3 times a power
of 2); if you are using the syntax that includes a function, the function
must return 0 at the point when the block cannot be divided further.