(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 ビュー (過去 30 日間)
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 件のコメント
darova
darova 2020 年 4 月 24 日
Too much pressure, i can't handle

サインインしてコメントする。

採用された回答

Walter Roberson
Walter Roberson 2020 年 4 月 24 日
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 件のコメント

サインインしてコメントする。

その他の回答 (0 件)

カテゴリ

Help Center および File ExchangeSignal Integrity Kits for Industry Standards についてさらに検索

タグ

タグが未入力です。

製品


リリース

R2020a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by