Warning: Colon operands cannot be logical
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I am trying to use a code for identifying particles in an image based on triangle thresholding. I have it as a function for a larger program that I use. I get the following error:
>> virusf
> In find_virus (line 10)
In virusf (line 30)
> In find_virus (line 10)
In virusf (line 30)
Warning: Colon operands cannot be logical.
Warning: Colon operands cannot be logical.
ctr =
0×2 empty double matrix
This is the code of the program:
function []=virusf()
global FileInfo
global UserValues TcspcData FileInfo PamMeta
h=guidata(findobj('Tag','Pam'));
Det=UserValues.Detector.Det(h.MI.Phasor_Det.Value);
Rout=UserValues.Detector.Rout(h.MI.Phasor_Det.Value);
From=str2double(h.MI.Phasor_From.String);
To=str2double(h.MI.Phasor_To.String);
PIE_MT=TcspcData.MT{Det,Rout}(TcspcData.MI{Det,Rout}>=From & TcspcData.MI{Det,Rout}<=To)*FileInfo.ClockPeriod;
[Intensity, Bin] = CalculateImage(PIE_MT, 2);
PIE_MI=TcspcData.MI{Det,Rout}(TcspcData.MI{Det,Rout}>=From & TcspcData.MI{Det,Rout}<=To);
PIE_MI=PIE_MI(Bin~=0);
Bin=Bin(Bin~=0);
Pixel= cumsum(Intensity(:));
Intensity=double(reshape(Intensity,[FileInfo.Pixels,FileInfo.Lines]));
Intensity=flip(Intensity',1);
BitImage = (Intensity>str2double(h.MI.Phasor_ParticleTH.String));
im = BitImage;
[ctr]=find_virus(im, 0, 20, 1)
and the find_virus code:
function [ctr]=find_virus(im, add_th, min_area, flg)
%find single virus in a image
%if flg=1, plots the image
%add_th: tune to discard dimmer spots
%min_area: adjust to discard small spots
%-spots bigger than 10x min_area will also be discarded
th=H_thresh_triangle_img2008v1(im,length(min(im(:)):1:max(im(:))),1); %find threshold automatically
th=round(th);
th=th+mean(im(:))*add_th;%add value to adjust th for the type of images (high S/N -> high add_th)
BW=im;
BW(BW(:)<th)=0; BW(BW(:)>th)=1; %create binary image
s=regionprops(logical(BW),'centroid', 'area', 'PixelList'); %get centers and area
ar=cat(1, s.Area);
ctr=cat(1, s.Centroid);
lst = cat(1, s.PixelList);
ctr(ar<min_area | ar>10*min_area,:)=[];%remove center of small points and very big areas
The code is larger but the error is coming from the line 10 where the trhesholding is done
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その他の回答 (1 件)
Adam
2017 年 4 月 13 日
It is pretty much exactly as the error says.
im is binary therefore min( im(:) ) is also binary. Wrap it up in e.g.
double( min( im(:) ) )
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