(Second File) Line 6 : The function return value "jumlah_data" might be unset and the function "numel" might be unused . Line 23 . Line 35. Line 38 . Line 39 . Line 47
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clc; clear; close all;
% membaca file citra dalam folder
image_folder ='data uji';
filename = dir(fullfile(image_folder, '*.jpg'));
LINE 6 : function jumlah_data = numel(filenames)
% menginiliasisasi variabel data_latih
data_latih = zeros(jumlah_data,5);
% proses ekstraksi ciri orde satu
for k = 1:jumlah_data
full_name = fullfile(image_folder, filenames(k).name);
Img = imread(full_name);
Img = rgb2gray(Img);
H = imhist(Img)';
H = H/sum(H);
I = (0:255);
CiriMEAN = I * H;
CiriENT = -H * log2(H+eps)';
CiriVAR = (I-CiriMean).^2*H';
CiriSKEW = (I-CiriMean).^3*H'/ CiriVAR^1.5;
LINE 23 : CiriKURT = (I-CiriMean).^4*H'/ CiriVAR^2-3;
data_latih(k,:) = [CiriMEAN,CiriENT,CiriVAR,CiriSKEW,CiriSKURT];
end
% penentuan nilai target untuk masing-maisng jenis bunga
target_latih = zero(1,jumlah_data);
target_latih(1:6) = 1; %kamboja_biasa
target_latih(7:12) = 2; %kamboja_merah
target_latih(13:18) = 3; %kamboja_plumeriapudica
target_latih(19:24) = 4; %melati-gambir
target_latih(25:30) = 5; %melati_kuning
% pelatihan menggunakan algoritma multivism
LINE 35 : output = multivsm(data_latih,target_latih,data_latih);
% load data_latih dan target_latih hasil pelatihan
LINE 38 : load data_latih
LINE 39 : load target_latih
% pengujian menggunakan algoritma multivsm
output = multivsm(data_latih,target_latuh,data_uji);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar = sum(n);
LINE 47 : akurasi = jumlah_benar/jumlah_data*100;
end
8 Comments
Fauzan Alghifari
on 24 Apr 2020
Walter Roberson
on 24 Apr 2020
remove the word
function
from line 6
Fauzan Alghifari
on 24 Apr 2020
Fauzan Alghifari
on 24 Apr 2020
Fauzan Alghifari
on 24 Apr 2020
Geoff Hayes
on 24 Apr 2020
The value assigned to variable 'output' might be unused is a warning and so can be ignored. Though you should look at your code to determine if you are supposed to be using it.
Fauzan Alghifari
on 24 Apr 2020
Fauzan Alghifari
on 24 Apr 2020
Accepted Answer
Walter Roberson
on 24 Apr 2020
% membaca file citra dalam folder
image_folder ='data uji';
filename = dir(fullfile(image_folder, '*.jpg'));
jumlah_data = numel(filenames);
% menginiliasisasi variabel data_latih
data_latih = zeros(jumlah_data,5);
% proses ekstraksi ciri orde satu
for k = 1:jumlah_data
full_name = fullfile(image_folder, filenames(k).name);
Img = imread(full_name);
Img = rgb2gray(Img);
H = imhist(Img)';
H = H/sum(H);
I = (0:255);
CiriMEAN = I * H;
CiriENT = -H * log2(H+eps)';
CiriVAR = (I-CiriMean).^2*H';
CiriSKEW = (I-CiriMean).^3*H'/ CiriVAR^1.5;
CiriKURT = (I-CiriMean).^4*H'/ CiriVAR^2-3;
data_latih(k,:) = [CiriMEAN,CiriENT,CiriVAR,CiriSKEW,CiriSKURT];
end
% penentuan nilai target untuk masing-maisng jenis bunga
target_latih = zero(1,jumlah_data);
target_latih(1:6) = 1; %kamboja_biasa
target_latih(7:12) = 2; %kamboja_merah
target_latih(13:18) = 3; %kamboja_plumeriapudica
target_latih(19:24) = 4; %melati-gambir
target_latih(25:30) = 5; %melati_kuning
% pelatihan menggunakan algoritma multivism
output = multivsm(data_latih,target_latih,data_latih);
[n,~] = find(targer_latih==output');
jumlah_benar(1) = sum(n);
akurasi(1) = jumlah_benar(1)/jumlah_data*100;
% load data_latih dan target_latih hasil pelatihan
dl = load('data_latih');
tl = load('target_latih');
% pengujian menggunakan algoritma multivsm
output = multivsm(dl.data_latih,tl.target_latuh,data_uji);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar(2) = sum(n);
akurasi(2) = jumlah_benar(2)/jumlah_data*100;
More Answers (0)
on 22 Apr 2020
on 24 Apr 2020
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