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Quadtree decomposition
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 different sizes.
S = qtdecomp(I) performs a quadtree decomposition on the intensity image I and returns the quadtree structure in the sparse matrix S. If S(k,m) is nonzero, then (k,m) is the upper left corner of a block in the decomposition, and the size of the block is given by S(k,m). By default, qtdecomp splits 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 threshold. threshold is specified as a value between 0 and 1, even if I is of class uint8 or uint16. If I is uint8, the threshold value you supply is multiplied by 255 to determine the actual threshold to use; if I is uint16, 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 mindim or larger than maxdim. Blocks larger than maxdim are split even if they meet the threshold condition. maxdim/mindim must be a power of 2.
S = qtdecomp(I, fun) uses the function fun to determine whether to split a block. qtdecomp calls fun with all the current blocks of size m-by-m stacked into an m-by-m-by-k array, where k is the number of m-by-m blocks. fun returns a logical k-element vector, whose values are 1 if the corresponding block should be split, and 0 otherwise. (For example, if k(3) is 0, the third m-by-m block should not be split.) fun must be a function_handle. Parameterizing Functions, in the MATLAB Mathematics documentation, explains how to provide additional parameters to the function fun.
For the syntaxes that do not include a function, the input image can be of class logical, uint8, uint16, int16, single, or 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 sparse.
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.