Segmentasi Warna
Segmentasi warna merupakan salah satu metode segmentasi citra yang memisahkan antara objek dengan background berdasarkan ciri warna tertentu dari objek tersebut. Proses segmentasi warna, salah satunya dapat dilakukan dengan cara mengkonversi ruang warna citra yang semula RGB (Red, Green, Blue) menjadi ruang warna HSV (Hue, Saturation, Value). Komponen Hue merupakan komponen yang merepresentasikan warna dari berbagai panjang gelombang cahaya. Komponen Hue dari ruang warna HSV kemudian diekstrak dan dibagi-bagi menjadi beberapa daerah warna seperti pada gambar berikut ini
Contoh tampilan program GUI segmentasi warna ditunjukkan pada gambar berikut:
Gambar di atas merupakan hasil segmentasi warna citra terhadap warna hijau.
File source code lengkap beserta citra untuk proses segmentasi warna dapat diperoleh melalui halaman berikut ini: Source code
Sedangkan tampilan source code nya adalah:
function varargout = Segmentasi_Warna(varargin)
% SEGMENTASI_WARNA MATLAB code for Segmentasi_Warna.fig
% SEGMENTASI_WARNA, by itself, creates a new SEGMENTASI_WARNA or raises the existing
% singleton*.
%
% H = SEGMENTASI_WARNA returns the handle to a new SEGMENTASI_WARNA or the handle to
% the existing singleton*.
%
% SEGMENTASI_WARNA('CALLBACK',hObject,eventData,handles,...) calls the local
% function named CALLBACK in SEGMENTASI_WARNA.M with the given input arguments.
%
% SEGMENTASI_WARNA('Property','Value',...) creates a new SEGMENTASI_WARNA or raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before Segmentasi_Warna_OpeningFcn gets called. An
% unrecognized property name or invalid value makes property application
% stop. All inputs are passed to Segmentasi_Warna_OpeningFcn via varargin.
%
% *See GUI Options on GUIDE's Tools menu. Choose "GUI allows only one
% instance to run (singleton)".
%
% See also: GUIDE, GUIDATA, GUIHANDLES
% Edit the above text to modify the response to help Segmentasi_Warna
% Last Modified by GUIDE v2.5 22-Jun-2014 01:10:06
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name', mfilename, ...
'gui_Singleton', gui_Singleton, ...
'gui_OpeningFcn', @Segmentasi_Warna_OpeningFcn, ...
'gui_OutputFcn', @Segmentasi_Warna_OutputFcn, ...
'gui_LayoutFcn', [] , ...
'gui_Callback', []);
if nargin && ischar(varargin{1})
gui_State.gui_Callback = str2func(varargin{1});
end
if nargout
[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});
else
gui_mainfcn(gui_State, varargin{:});
end
% End initialization code - DO NOT EDIT
% --- Executes just before Segmentasi_Warna is made visible.
function Segmentasi_Warna_OpeningFcn(hObject, eventdata, handles, varargin)
% This function has no output args, see OutputFcn.
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% varargin command line arguments to Segmentasi_Warna (see VARARGIN)
% Choose default command line output for Segmentasi_Warna
handles.output = hObject;
% Update handles structure
guidata(hObject, handles);
movegui(hObject,'center');
% UIWAIT makes Segmentasi_Warna wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = Segmentasi_Warna_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Get default command line output from handles structure
varargout{1} = handles.output;
% --- Executes on button press in pushbutton1.
function pushbutton1_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
[namafile,namapath] = uigetfile({'*.jpg';'*.bmp';'*.png';'*.gif';'*.tif'});
if ~isequal(namafile,0)
Img = imread(fullfile(namapath,namafile));
axes(handles.axes1)
imshow(Img)
else
return
end
handles.Img = Img;
guidata(hObject,handles)
% --- Executes on button press in pushbutton2.
function pushbutton2_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==0/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton3.
function pushbutton3_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==21/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton4.
function pushbutton4_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton4 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==43/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton5.
function pushbutton5_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton5 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==85/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton6.
function pushbutton6_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton6 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==128/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton7.
function pushbutton7_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton7 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==170/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton8.
function pushbutton8_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton8 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==191/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton9 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==213/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on button press in pushbutton10.
function pushbutton10_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton10 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
Img = handles.Img;
[tinggi,lebar,~] = size(Img);
hsv = rgb2hsv(Img);
H = hsv(:,:,1);
S = hsv(:,:,2);
V = hsv(:,:,3);
for y=1: tinggi
for x=1: lebar
h = H(y,x);
% Ubah warna
if h < 11/255 % merah
h = 0;
elseif h < 32/255 % jingga
h = 21/255;
elseif h < 54/255 % kuning
h = 43/255;
elseif h < 116/255 % hijau
h = 85/255;
elseif h < 141/255 % cyan
h = 128/255;
elseif h < 185/255 % biru
h = 170/255;
elseif h < 202/255 % ungu
h = 191/255;
elseif h < 223/255 % magenta
h = 213/255;
elseif h < 244/255 % merah muda
h = 234/255;
else
h = 0; % merah
end
% Ubah komponen H
H(y,x) = h;
% Ubah komponen S
if S(y,x) >= 200/255
S(y,x) = 255/255;
elseif S(y,x) <= 20/255
S(y,x) = 0;
else
S(y,x) = 128/255;
end
% Ubah komponen V
if V(y,x) >= 200/255
V(y,x) = 255/255;
elseif V(y,x) <= 20/255
V(y,x) = 0;
else
V(y,x) = 128/255;
end
end
end
H_aksen = H==234/255;
H_aksen = logical(H_aksen);
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
R(~H_aksen) = 255;
G(~H_aksen) = 255;
B(~H_aksen) = 255;
RGB = cat(3,R,G,B);
axes(handles.axes2)
imshow(RGB);
handles.H_aksen = H_aksen;
guidata(hObject,handles)
% --- Executes on slider movement.
function slider1_Callback(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
Img = handles.Img;
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
H_aksen = handles.H_aksen;
slider_value1 = get(handles.slider1,'Value');
R(H_aksen) = R(H_aksen)+slider_value1;
if R(H_aksen)>255
R(H_aksen) = 255;
elseif R(H_aksen)<0
R(H_aksen) = 0;
end
slider_value2 = get(handles.slider2,'Value');
G(H_aksen) = G(H_aksen)+slider_value2;
if G(H_aksen)>255
G(H_aksen) = 255;
elseif G(H_aksen)<0
G(H_aksen) = 0;
end
slider_value3 = get(handles.slider3,'Value');
B(H_aksen) = B(H_aksen)+slider_value3;
if B(H_aksen)>255
B(H_aksen) = 255;
elseif B(H_aksen)<0
B(H_aksen) = 0;
end
RGB = cat(3,R,G,B);
axes(handles.axes1)
imshow(RGB)
% --- Executes during object creation, after setting all properties.
function slider1_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider1 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
% --- Executes on slider movement.
function slider2_Callback(hObject, eventdata, handles)
% hObject handle to slider2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
Img = handles.Img;
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
H_aksen = handles.H_aksen;
slider_value1 = get(handles.slider1,'Value');
R(H_aksen) = R(H_aksen)+slider_value1;
if R(H_aksen)>255
R(H_aksen) = 255;
elseif R(H_aksen)<0
R(H_aksen) = 0;
end
slider_value2 = get(handles.slider2,'Value');
G(H_aksen) = G(H_aksen)+slider_value2;
if G(H_aksen)>255
G(H_aksen) = 255;
elseif G(H_aksen)<0
G(H_aksen) = 0;
end
slider_value3 = get(handles.slider3,'Value');
B(H_aksen) = B(H_aksen)+slider_value3;
if B(H_aksen)>255
B(H_aksen) = 255;
elseif B(H_aksen)<0
B(H_aksen) = 0;
end
RGB = cat(3,R,G,B);
axes(handles.axes1)
imshow(RGB)
% --- Executes during object creation, after setting all properties.
function slider2_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider2 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
% --- Executes on slider movement.
function slider3_Callback(hObject, eventdata, handles)
% hObject handle to slider3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% Hints: get(hObject,'Value') returns position of slider
% get(hObject,'Min') and get(hObject,'Max') to determine range of slider
Img = handles.Img;
R = Img(:,:,1);
G = Img(:,:,2);
B = Img(:,:,3);
H_aksen = handles.H_aksen;
slider_value1 = get(handles.slider1,'Value');
R(H_aksen) = R(H_aksen)+slider_value1;
if R(H_aksen)>255
R(H_aksen) = 255;
elseif R(H_aksen)<0
R(H_aksen) = 0;
end
slider_value2 = get(handles.slider2,'Value');
G(H_aksen) = G(H_aksen)+slider_value2;
if G(H_aksen)>255
G(H_aksen) = 255;
elseif G(H_aksen)<0
G(H_aksen) = 0;
end
slider_value3 = get(handles.slider3,'Value');
B(H_aksen) = B(H_aksen)+slider_value3;
if B(H_aksen)>255
B(H_aksen) = 255;
elseif B(H_aksen)<0
B(H_aksen) = 0;
end
RGB = cat(3,R,G,B);
axes(handles.axes1)
imshow(RGB)
% --- Executes during object creation, after setting all properties.
function slider3_CreateFcn(hObject, eventdata, handles)
% hObject handle to slider3 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: slider controls usually have a light gray background.
if isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor',[.9 .9 .9]);
end
Materi mengenai proses segmentasi warna dapat dilihat pada laman berikut ini:
1. Segmentasi Warna Citra pada Ruang Warna HSV
2. Segmentasi Warna Citra pada Ruang Warna L*a*b
3. Segmentasi Warna menggunakan Algoritma Fuzzy C-Means Clustering
4. Segmentasi Warna menggunakan Algoritma K-Means Clustering
5. Pengolahan Video untuk Mendeteksi Warna
6. Pengolahan Video untuk Mendeteksi Warna Kulit
Pemrograman Matlab 
permisi mas, mau tanya kalo untuk segmentasi tulang daun gimana ya caranya? hanya diambil tulang daunnya saja..
Matur Nuwun.
bisa menggunakan operasi thresholding
setelah citra menjadi biner kemudian dilakukan operasi morfologi seperti erosi, dilasi, opening, atau closing sehingga didapatkan skeleton dari daun
mas ya boleh minta kontaknya juga mas? wasap, line , atau bbm.
mau tanya terkait tugas akhir yang saya ambil tentang pengolahan citra. kalo boleh saya tunggu di email saya mas
muhammadimamsetiaji@gmail.com
mohon bimbingannya mas
terimakasih.
OK mas adi pamungkas..tak cobanya dlu..
Mas itu kode warnya 11/255 sama dengan merah. Dpt dr mana ?
aturan tsb diperoleh dari teori ruang warna hsv
Itu di konversi dr rgb ke hsv?
Dari koding bisa dilihat proses konversi rgb mjd hsv
brarti untuk penambahan warna bisa mas?
untuk channel hue hanya merepresentasikan spektrum cahaya tampak (merah, jingga, kuning, hijau, biru, nila, ungu)
untuk warna grayscale, channel hue harus dikombinasikan dg channel saturation dan value
Ada kontak mas, soalnya saya ada yg mau ditanyakan masalah segmentasi warna.
mas bisa gak kalau kita lakukan deteksi warna tapi outpunya tulisan , misal kita inputkan gambar dengan objek citra berwarna merah , outpunya cuman tulisan MERAH gitu bisa gak
??
bisa mengintegrasikan materi pada laman berikut
https://pemrogramanmatlab.com/pengenalan-pola-citra-digital-menggunakan-matlab/pola-bentuk-morfologi/
dan
https://pemrogramanmatlab.com/2016/10/24/jaringan-syaraf-tiruan-untuk-klasifikasi-citra-daun/
Masih susah untuk saya pahami mas , ada cara yang lebih mudah ?
mas bagaimana cara untuk mengubah dari biner (thresholding) trus diaplikasikan ke gambar asli untuk diukur warnanya sesuai daerah thresholding?
Materi mengenai hal tsb bisa dilihat pada halaman berikut ini
https://pemrogramanmatlab.com/2016/11/09/segmentasi-warna-citra-digital/
dan
https://pemrogramanmatlab.com/2016/11/01/ekstraksi-ciri-citra-rgb/
mas adi, saya sudah mencoba cari di google selama 3 hari ini, tapi masih paham samar2 tentang maksud lokalisasi objek citra. Bagaimana maksud lokalisasi citra? apakah sebuah proses melibatkan beberapa algoritma? apakah segmentasi tidak sama dengan lokalisasi objek pada citra?
perbedaan antara object localization, detection, classification, dan segmentation dapat dibaca pada halaman berikut ini
https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html
mas, kira2 kalau mau buat alat pendeteksi embrio telur dengan segmentasi warna bisa ga ya mas? apakah akan lebih bagus hasilnya jika dibandingkan menggunakan metoda threshold mas?
bisa dicoba diimplementasikan segmentasi warna untuk deteksi embrio telur
Assalamualaikum mas adi..
Saya ingin bertanya apakah bisa kita mengganti warna baju menggunakan deteksi warna dan segmentasi warna?
Terimakasih mas…
Mas kalo mo klasifikasi citra air berkapur metode yg paling cocok digunakan apa yah mas?
Mohon sarannya mas
Bisa dicoba diimplementasikan metode segmentasi yang ada
Ada coding buat segmentasi, ekstraksi, klasifikasi buat segmentasi citra warna Burung dengan HSV