I want to compute the Color Layout Descriptor (CLD) for each image.. this algorithm include four stages . in the First stage I must Partition each image into 64 block i(8×8)n order to compute a single representative color from each block .. I try to partition the image into 64 block by using (For loop) but I get 64 ting image. I want to get image with (8×8) block in order to complete the algorithm by apply the DCT transformation then Zigzag scanning
One way to partition your image into blocks and then run some processing on it is to use the built-in function BLOCKPROC (called blkproc
in older versions of Matlab).
%# find block length in order to get 64 blocks
imageSize = size(img);
blockLen = round(imageSize(1:2)/8);
%# apply a function to each block
out = blocproc(img,blockLen,@myFunction)
myFunction
is the function that you'd like to apply to each block. You can define it as a subfunction of your code, or a separate m-file, or an anonymous function. The output will be catenated in an 8x-by-8x array, where x is the size of the output of your function. myFunction
should expect a single input argument, blockStruct
, which is a structure with fields data
containing the pixel values of the block, as well as fields border
, blockSize
, imageSize
, and location
.