
(First File) Line 6 : The Function return value "jumlah_data" might be unset and the function "numel" might be unused . Line 23 . Line 40 . Line 44
3 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Fauzan Alghifari
le 22 Avr 2020
Modifié(e) : Fauzan Alghifari
le 24 Avr 2020
clc; clear; close all;
% membaca file citra dalam folder
image_folder ='data latih';
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
output = multivsm(data_latih,target_latih,data_latih);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar = sum(n);
% --- Line 40 ---
akurasi = jumlah_benar/jumlah_data*100;
% menyimpan variabel data_latih dan target_latih
save data_latih data_latih
% --- Line 44 ---
save target_latih target latih
end
6 commentaires
Réponse acceptée
Walter Roberson
le 24 Avr 2020
clc; clear; close all;
% membaca file citra dalam folder
image_folder ='data latih';
filename = dir(fullfile(image_folder, '*.jpg'));
% --- line 6 ---
[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
output = multivsm(data_latih,target_latih,data_latih);
%menghitung nilai akurasi pelatihan
[n,~] = find(targer_latihan==output');
jumlah_benar = sum(n);
% --- Line 40 ---
akurasi = jumlah_benar/jumlah_data*100;
% menyimpan variabel data_latih dan target_latih
save data_latih data_latih
% --- Line 44 ---
save target_latih target latih
2 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Signal Integrity Kits for Industry Standards dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!