MATLAB: First i need to divide a binary image into 8×8 block.Second, in all blocks,check if number of 1s is larger than 0s,if larger number of 1s,then i need to convert all 0s to 1s,else convert all 1s to 0s.

homeworkimage processingImage Processing Toolbox

using blockprocess,a binary image is divided into 8×8 blocks,then check all blocks that whether number of 1s is larger than number of 0s,if so then convert all 1s to 0s otherwise 0s to 1s in all blocks

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It will be trivial for you to adapt one of my attached demos to do that.

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MATLAB: Counting consecutive occurences of 1s and -1s

The first step below counts all consecutive numbers. The second step eliminates the 0-counts.

A = [0 0 1 1 1 1 0 0 0 -1 -1 -1 0 1 1 0 ]; 
changeIdx = [1,diff(A)]~=0; 
counts = histcounts(cumsum(changeIdx),1:sum(changeIdx)+1); 
consecutiveCounts = [A(changeIdx)',counts']
% Result:
consecutiveCounts =
     0     2            %First there are 2 zeros
     1     4            %then 4 ones
     0     3            %then 3 zeros
    -1     3            %then 3 negative ones
     0     1            % etc...
     1     2
     0     1

To get the vector you described, eliminate the 0-counts and multiply by the sign of the value in A so counts of negative numbers are negative.

  consecutiveCounts(consecutiveCounts(:,1)~=0,2)' .* sign(consecutiveCounts(consecutiveCounts(:,1)~=0,1))'
ans =
     4    -3     2

MATLAB: Hi i need to divide image into 64×64 and in each block find maximum pixel intensity value,and change all other pixel value to this maximum value.

Using SEPBLOCKFUN ( Download ),

   MaxVals=sepblockfun(yourImage,[64,64],  @(B,d) max(B,[],d) );
   result=kron(MaxVals,ones(64));

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Related Solutions

MATLAB: Counting consecutive occurences of 1s and -1s

MATLAB: Hi i need to divide image into 64×64 and in each block find maximum pixel intensity value,and change all other pixel value to this maximum value.

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