Help me with this calculation that uses blockproc()

조회 수: 2 (최근 30일)
TUSHAR MURATKAR
TUSHAR MURATKAR 2017년 8월 4일
편집: Image Analyst 2017년 8월 24일
I have an input image of size 384x512 double. I applied blockproc() on this input image, with a blocksize of 20x20, and as a result I got new output image of size 58x77 double.
My question is "why is the output image size 58x77?"

답변 (1개)

Walter Roberson
Walter Roberson 2017년 8월 4일
With a 384 x 512 you do not have full blocks of 20 x 20 in either direction, so you will be operating on partial blocks on the edges.
Whatever operation you are doing is returning a 3 x 3 response for 20 x 20 blocks, but for the partial blocks it is returning 2 x 3 for the 4 x 20 partial blocks vertically, and 3 x 2 for the 20 x 12 the partial blocks horizontally, and 2 x 2 for the 4 x 12 partial corner block.
  댓글 수: 2
TUSHAR MURATKAR
TUSHAR MURATKAR 2017년 8월 5일
@walter, can u pls explain this with a pictorial or numerical example
Walter Roberson
Walter Roberson 2017년 8월 5일
%I was slightly off on the above output description.
image_rows = 384;
image_columns = 512;
row_blocksize = 20;
column_blocksize = 20;
blockproc_output_rows = 58;
blockproc_output_columns = 77;
row_full_blocks = floor(image_rows/row_blocksize);
input_rows_used_for_full_blocks = row_blocksize * row_full_blocks;
row_partial_block_size = image_rows - input_rows_used_for_full_blocks;
outputs_per_full_row_block = floor(blockproc_output_rows ./ row_full_blocks);
output_rows_used_for_full_blocks = outputs_per_full_row_block * row_full_blocks;
leftover_blockproc_output_rows = blockproc_output_rows - output_rows_used_for_full_blocks;
column_full_blocks = floor(image_columns/column_blocksize);
input_columns_used_for_full_blocks = column_blocksize * column_full_blocks;
column_partial_block_size = image_columns - input_columns_used_for_full_blocks;
outputs_per_full_column_block = floor(blockproc_output_columns ./ column_full_blocks);
leftover_blockproc_output_columns = blockproc_output_columns - outputs_per_full_column_block * column_full_blocks;
output_columns_used_for_full_blocks = outputs_per_full_column_block * column_full_blocks;
leftover_blockproc_output_columns = blockproc_output_columns - output_columns_used_for_full_blocks;
fprintf('Image size is %d by %d\n', image_rows, image_columns);
fprintf('full input blocks are %d by %d\n', row_blocksize, column_blocksize);
fprintf('number of left-over input rows is %d; number of left-over input columns is %d\n', row_partial_block_size, column_partial_block_size);
fprintf('Output size is %d by %d\n', blockproc_output_rows, blockproc_output_columns);
fprintf('full output blocks are %d by %d\n', outputs_per_full_row_block, outputs_per_full_column_block);
fprintf('which uses up %d by %d of the output matrix\n', output_rows_used_for_full_blocks, output_columns_used_for_full_blocks);
fprintf('number of left-over output rows is %d; number of left-over output columns is %d\n', leftover_blockproc_output_rows, leftover_blockproc_output_columns);
fprintf('There are %d rows of output for each of the %d full input blocks with %d rows each\n', outputs_per_full_row_block, row_full_blocks, row_blocksize);
fprintf('There are %d rows of output for the one partial input block that was %d rows high\n', leftover_blockproc_output_rows, row_partial_block_size);
fprintf('There are %d columns of output for each of the %d full input blocks with %d columns each\n', outputs_per_full_column_block, column_full_blocks, column_blocksize);
fprintf('There are %d columns of output for the one partial input block that was %d columns wide\n', leftover_blockproc_output_columns, column_partial_block_size);
temp1 = sprintf('%2dx%2d ', row_blocksize, column_blocksize);
temp2 = [repmat(temp1, 1, column_full_blocks), sprintf('%2dx%2d\n', row_blocksize, column_partial_block_size)];
temp3 = repmat(temp2, 1, row_full_blocks);
temp4 = sprintf('%2dx%2d ', row_partial_block_size, column_blocksize);
temp5 = [repmat(temp4, 1, column_full_blocks), sprintf('%2dx%2d\n', row_partial_block_size, column_partial_block_size)];
fprintf('\nInput diagram:\n\n%s%s\n', temp3, temp5);
temp1 = sprintf('%2dx%2d ', outputs_per_full_row_block, outputs_per_full_column_block);
temp2 = [repmat(temp1, 1, column_full_blocks), sprintf('%2dx%2d\n', outputs_per_full_row_block, leftover_blockproc_output_columns)];
temp3 = repmat(temp2, 1, row_full_blocks);
temp4 = sprintf('%2dx%2d ', leftover_blockproc_output_rows, outputs_per_full_column_block);
temp5 = [repmat(temp4, 1, column_full_blocks), sprintf('%2dx%2d\n', leftover_blockproc_output_rows, leftover_blockproc_output_columns)];
fprintf('\nOutput diagram:\n\n%s%s\n', temp3, temp5);

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Image Processing Toolbox에 대해 자세히 알아보기

태그

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by