matlab火灾检测gui设计代码

以下是一个简单的Matlab火灾检测GUI设计代码，仅供参考：

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

% Last Modified by GUIDE v2.5 13-Jun-2021 21:58:12

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

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

% Update handles structure
guidata(hObject, handles);

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

% --- Outputs from this function are returned to the command line.
function varargout = fire_detection_gui_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 select_image_button.
function select_image_button_Callback(hObject, eventdata, handles)
% hObject    handle to select_image_button (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Open file dialog and select image file
[filename, pathname] = uigetfile({'*.jpg;*.png;*.bmp;*.tif'}, 'Select an image file');
if isequal(filename,0) || isequal(pathname,0)
    % User cancelled the file selection
    return;
end

% Read selected image file and display
img = imread(fullfile(pathname, filename));
axes(handles.original_image_axes);
imshow(img);
title('Original Image');


% --- Executes on selection change in preprocessing_popupmenu.
function preprocessing_popupmenu_Callback(hObject, eventdata, handles)
% hObject    handle to preprocessing_popupmenu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Check selected preprocessing option and update current image
preprocessing_option = get(hObject, 'Value');
img = get_image_from_axes(handles.original_image_axes);

switch preprocessing_option
    case 1 % None
        % Do nothing
    case 2 % Gaussian filtering
        img = imfilter(img, fspecial('gaussian', [5 5], 1));
    case 3 % Median filtering
        img = medfilt2(img, [5 5]);
    case 4 % Adaptive thresholding
        img = imadjust(img, stretchlim(img));
        img = imbinarize(img, 'adaptive', 'Sensitivity', 0.5);
    otherwise
        % Invalid option
        return;
end

% Display preprocessed image
axes(handles.preprocessed_image_axes);
imshow(img);
title('Preprocessed Image');


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

% Create preprocessing options
preprocessing_options = {'None', 'Gaussian Filtering', 'Median Filtering', 'Adaptive Thresholding'};

% Add options to popup menu
for i = 1:length(preprocessing_options)
    option = preprocessing_options{i};
    set(hObject, 'String', [get(hObject, 'String'); option]);
end


% --- Executes on selection change in algorithm_popupmenu.
function algorithm_popupmenu_Callback(hObject, eventdata, handles)
% hObject    handle to algorithm_popupmenu (see GCBO)
% eventdata  reserved - to be defined in a future version of MATLAB
% handles    structure with handles and user data (see GUIDATA)

% Check selected algorithm option and update current image
algorithm_option = get(hObject, 'Value');
img = get_image_from_axes(handles.preprocessed_image_axes);

switch algorithm_option
    case 1 % None
        % Do nothing
    case 2 % Pixel-based detection
        img = pixel_based_detection(img);
    case 3 % Region-based detection
        img = region_based_detection(img);
    otherwise
        % Invalid option
        return;
end

% Display detected image
axes(handles.detected_image_axes);
imshow(img);
title('Detected Image');


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

% Create algorithm options
algorithm_options = {'None', 'Pixel-based Detection', 'Region-based Detection'};

% Add options to popup menu
for i = 1:length(algorithm_options)
    option = algorithm_options{i};
    set(hObject, 'String', [get(hObject, 'String'); option]);
end


% --- Get current image from axes.
function img = get_image_from_axes(axes_handle)
img = getimage(axes_handle);
if size(img,3) == 3
    % Convert to grayscale if necessary
    img = rgb2gray(img);
end


% --- Perform pixel-based fire detection.
function output = pixel_based_detection(img)
% Convert to double format and normalize
img = double(img)/255;

% Calculate color distance and threshold
color_distance = (img(:,:,1)-img(:,:,2)).^2 + (img(:,:,1)-img(:,:,3)).^2;
threshold = graythresh(color_distance);

% Binarize image
output = imbinarize(color_distance, threshold);


% --- Perform region-based fire detection.
function output = region_based_detection(img)
% Convert to double format and normalize
img = double(img)/255;

% Convert to L*a*b* color space
lab_img = rgb2lab(img);

% Extract a* and b* channels
a_channel = lab_img(:,:,2);
b_channel = lab_img(:,:,3);

% Threshold a* and b* channels
a_threshold = graythresh(a_channel);
b_threshold = graythresh(b_channel);
a_mask = imbinarize(a_channel, a_threshold);
b_mask = imbinarize(b_channel, b_threshold);

% Combine masks
output = a_mask & b_mask;

这个代码包含了选择图像、预处理、算法检测等功能，其中包括了像素级检测和区域级检测两种算法。您可以根据需要对代码进行修改和优化。