I am getting an error that "array indices must be positive integers or logical values" How to solve?

Array indices must be positive integers or logical values.

Error in get_im_label (line 14)

if ~strcmp(dataname(j).name(end-1:end),'db') % ËÎ

Error in curet (line 17)

imageDatasetLabel = get_im_label(imdir);

this is my error. How to solve this error?

[Alex Mcaulley]

Upload the full code. It is impossible for us to know what kind of variable is dataname

[Dennis]

The error states that one of your indices is not a positive integer. This could be j (impossible to tell without your code), but my guess is that there might be only one entry in name.

[Shan Sha]

close all;clear all;clc

addpath('./helpfun');

imdir = './CURET/';

savedir = ['./_features/CURET']; % save features

mkdir_bo(savedir);

datadir = 'results'; % save classification accuracy

mkdir_bo(datadir);

%% feature extraction

sigmaSet = [1 2 4];

F = makeGDfilters(sigmaSet);

snr = 0; % here "0" only denotes "No noise"

K = 2;

C = 1;

Ls = 3;

Lr = 5;

imageDatasetLabel = get_im_label(imdir);

imageDatasetFeatPath = get_feature_path(savedir);

tic;

fprintf('\n..................extracting image descriptors\n')

calculate_LETRIST_features(imdir, savedir, 'png', F, sigmaSet, Ls, Lr, K, C, snr);

imageDatasetFeatPath = get_feature_path(savedir);

%% classification

trail = 100; % results averaged over 100 runs

trainnum = 46;% trainning number per class

imageDatasetfea = load_feature(imageDatasetFeatPath);

rand('state',0);

randn('state',0);

for i = 1:trail

% generate training and test partitions

indextrain = [];

indextest = [];

labelnum = unique(imageDatasetLabel);

for j = 1:length(labelnum)

index = find(imageDatasetLabel == j);

perm = randperm(length(index));

indextrain = [indextrain index(perm(1:trainnum))];

indextest = [indextest index(perm(trainnum+1:end))];

end

trainfeatures = imageDatasetfea(indextrain,:);

trainlabel = imageDatasetLabel(:,indextrain);

testfeatures = imageDatasetfea(indextest,:);

testlabel = imageDatasetLabel(:,indextest);

trainNum = size(trainfeatures,1);

testNum = size(testfeatures,1);

DM = zeros(testNum,trainNum);

for j=1:testNum

test = testfeatures(j,:);

DM(j,:) = distMATChiSquare(trainfeatures,test)';

end

% Nearest-neighborhood classifier

CP=ClassifyOnNN(DM,trainlabel,testlabel);

cp_avg(1,i) = CP;

clear trainfeatures testfeatures DM

end

disp(['Total running time is ' num2str(toc/60) ' mins']);

AP=mean(cp_avg)

save(['.\results\CURET_LETRIST.mat'], 'AP');

Answer 1

[KSSV]

Note that MATLAB accepts only non zero positive integers and logicals as indices. Else from these every thing throws error.

A = rand(10,1) ; 
A(1)   % no error 
A(3)   % no error 
A(-1)   % throws error 
A(0) = % throews error 
idx = A<0.5 ;    % idx will be logical 
A(idx)    % no error

Check your code where and why the index is getting negative.