Sunday 23 October 2016

Creating GUI using guide in MATLAB to retreive images in a folder and display

function varargout = untitled(varargin)
% UNTITLED MATLAB code for untitled.fig
%      UNTITLED, by itself, creates a new UNTITLED or raises the existing
%      singleton*.
%
%      H = UNTITLED returns the handle to a new UNTITLED or the handle to
%      the existing singleton*.
%
%      UNTITLED('CALLBACK',hObject,eventData,handles,...) calls the local
%      function named CALLBACK in UNTITLED.M with the given input arguments.
%
%      UNTITLED('Property','Value',...) creates a new UNTITLED or raises the
%      existing singleton*.  Starting from the left, property value pairs are
%      applied to the GUI before untitled_OpeningFcn gets called.  An
%      unrecognized property name or invalid value makes property application
%      stop.  All inputs are passed to untitled_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 untitled

% Last Modified by GUIDE v2.5 13-Dec-2015 00:03:51

% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct('gui_Name',       mfilename, ...
                   'gui_Singleton',  gui_Singleton, ...
                   'gui_OpeningFcn', @untitled_OpeningFcn, ...
                   'gui_OutputFcn',  @untitled_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 untitled is made visible.
function untitled_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 untitled (see VARARGIN)

% Choose default command line output for untitled
handles.output = hObject;

% Update handles structure
guidata(hObject, handles);

% UIWAIT makes untitled wait for user response (see UIRESUME)
% uiwait(handles.figure1);


% --- Outputs from this function are returned to the command line.
function varargout = untitled_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;



function edit1_Callback(hObject, eventdata, handles)
% hObject    handle to edit1 (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,'String') returns contents of edit1 as text
%        str2double(get(hObject,'String')) returns contents of edit1 as a double


% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject    handle to edit1 (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    empty - handles not created until after all CreateFcns called

% Hint: edit controls usually have a white background on Windows.
%       See ISPC and COMPUTER.
if ispc && isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
    set(hObject,'BackgroundColor','white');
end


% --- 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)

first=get(handles.edit1,'string');
foldername=strcat('C:\',first,'\'); #PATH TO FOLDER IS IN RED COLOUR
imname=strcat(foldername,'\*.png');
n = length(imname);   
imgs=dir(imname);
filename=strcat(foldername,'\',imgs(1).name);
Cval = imread(filename);
handles.C = Cval;
axes(handles.axes1);
imshow(Cval);
handles.output = hObject;
guidata(hObject, handles);

filename2=strcat(foldername,'\',imgs(2).name);
Cval = imread(filename2);
handles.C = Cval;
axes(handles.axes2);
imshow(Cval);
handles.output = hObject;
guidata(hObject, handles);


All the code above in green colour is automatically generated by guide in MATLAB
U have to create a figure using guide in matlab and give it the name untitled.fig as the code has the name untitled.
Also you have to create a folder named actress i.e, same as the name of the folder u type in the search box in the below figure.


Output:

Monday 17 October 2016

Preprocessing satellite images to find crowns of trees using MATLAB

MATLAB Program: 
clear all;
close all;
g=imread('test_area_1.tif');
l=[100/255 75/255 50/255];
h=[255/255 255/255 250/255];
b=imadjust(g,[l;h],[0;1]);
H = padarray(2,[2 2]) - fspecial('gaussian' ,[5 5],2); % create unsharp mask
d=imfilter(b,H);
subplot(131);imshow(g);title('
original');
subplot(132);imshow(b);title('Contrast stretched image');
subplot(133);imshow(d);title('sharpened image');


By contrast stretching the image using imadjust and by applying high pass filter for sharpening, the results are as shown below: