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
Accepted Answer
More Answers (1)
Adam
on 13 Apr 2017
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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