doubt on using blkproc functiom

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ramya raj
ramya raj 2011-9-2
hai i am working with matlab R2009a and i have to move a window of size[30,700] over the image and calculate the sum of pixels inside the window
the problem is my image is having NaN values and and i am using the blkproc function to make the window move over my image and i got a matrix of size 21X700 with NAN values is my answer correct please some one help me
and my coding is this
figure ,imshow(final2); [width, height] = size(final2); fun=@sum; B=blkproc(final2,[30 height],fun);

回答(2 个)

Andrei Bobrov
Andrei Bobrov 2011-9-2
variant
B=blkproc(final2,[30 height],@(x)sum(x(~isnan(x))));
OR
B=blockproc(final2,[30 height],@(block_struct)sum(block_struct.data(~isnan(block_struct.data))));
add variant
B=blkproc(final2,[30 height],@(x)sum(x(~isnan(x)&~isinf(x))))
  3 个评论
ramya raj
ramya raj 2011-9-2
hai this is the data that i have
and the code i have used
clc;
clear all;
close all;
fundus=imread('D:\10mcs010\im0001.ppm');
grayImage=fundus(:,:,1);
[rows columns numberOfColorBands] = size(grayImage);
figure,imshow(grayImage);
title('Original Grayscale Image');
binaryImage = grayImage > 35;
A=[0 0 0;1 1 1;0 0 0];
op=imopen(binaryImage,A);
clos=imopen(op,A);
eror=imopen(clos,A);
maskedRgbImage = bsxfun(@times, fundus, cast(eror,class(fundus)));
g=maskedRgbImage(:,:,2);
imv=conv2(double(g),[1 0 -1],'same');
figure,image((imv));
title ('vertical image');
imh=conv2(double(g),[1;0;-1],'same');
figure,image((imh));
title ('horizontal image');
ev=abs(imv);
eh=abs(imh);
edgediff=imsubtract(ev,eh);
edgediff=double(edgediff);
erore=double(eror);
g=double(g);
final2=edgediff ./erore;
figure ,imshow(final2);
[width, height] = size(final2);
B=blkproc(final2,[30 height],@(x)sum(x(~isnan(x)&~isinf(x))));
and this is the answer i am getting i don't know where is the error
-44907
-13744
-9499
-1979
822
1502
-3559
12038
6991
14429
9999
8073
9060
4894
-3508
-8374
-51
-3687
-1323
-38133
0

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Bjorn Gustavsson
Bjorn Gustavsson 2011-9-2
Replace sum with nansum in your call to blkproc. If you dont have the statistics toolbox you can look for nansum in the file exchange - I've found at least one statistics-related toolbox there that includes a number of nan-safe functions.
HTH

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