【水果识别】基于形态学实现水果大小识别含Matlab源码
【水果识别】基于形态学实现水果大小识别含Matlab源码
TT_Matlab
博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，完整matlab代码或者程序定制加qq1575304183。
1 简介
在现实生活中成人识别水果是十分简易的但对于幼儿来说在没有实物之前是无法识别水果的,因此本文设计了一个简易水果识别系统为幼儿在电子设备上识别水果提供可能.本文通过matlab GUI设计了一个水果识别系统界面并通过对水果图像进行二值化处理,边缘处理最后实现了水果分类,结果由设计的GUI界面所示.我们通过算法成功的识别了香蕉,苹果,杨桃,柠檬和猕猴桃.我们可以通过该算法实现的水果识别并为教导幼儿实现电子识别水果提供方便.
2 部分代码
function varargout = fruit_identify(varargin)
% FRUIT_IDENTIFY M-file
for
fruit_identify.fig
% FRUIT_IDENTIFY, by itself, creates a new FRUIT_IDENTIFY
or
raises the existing
% singleton*.
%
% H = FRUIT_IDENTIFY returns the handle to a new FRUIT_IDENTIFY
or
the handle to
% the existing singleton*.
%
% FRUIT_IDENTIFY(
’CALLBACK’
,hObject,eventData,handles,...) calls the local
% function named CALLBACK
in
FRUIT_IDENTIFY.M with the given input arguments.
%
% FRUIT_IDENTIFY(
’Property’
,
’Value’
,...) creates a new FRUIT_IDENTIFY
or
raises the
% existing singleton*. Starting from the left, property value pairs are
% applied to the GUI before fruit_identify_OpeningFcn gets called. An
% unrecognized property name
or
invalid value makes property application
% stop. All inputs are passed to fruit_identify_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 fruit_identify
% Last Modified by GUIDE v2.5 22-May-2021 10:27:49
% Begin initialization code - DO NOT EDIT
gui_Singleton = 1;
gui_State = struct(’
gui_Name
’, mfilename, ...
’
gui_Singleton
’, gui_Singleton, ...
’
gui_OpeningFcn
’, @fruit_identify_OpeningFcn, ...
’
gui_OutputFcn
’, @fruit_identify_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 fruit_identify is made visible.
function fruit_identify_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 fruit_identify (see VARARGIN)
% Choose default command line output for fruit_identify
handles.output = hObject;
im=imread(’
pic.jpg
’);
axes(handles.axes1)
imshow(im)
% Update handles structure
guidata(hObject, handles);
% UIWAIT makes fruit_identify wait for user response (see UIRESUME)
% uiwait(handles.figure1);
% --- Outputs from this function are returned to the command line.
function varargout = fruit_identify_OutputFcn(hObject, eventdata, handles)
% varargout cell array for returning output args (see VARARGOUT);
% hObject handle to figure
end
%变换生成最终的结果图像，图像中显示的结果即对应分类器中指定的类别
fruit_matrix = hsv2rgb(fruit_HSV); %转换为RGB彩图，彩图中已经滤去了其余物体，只剩下当前目标物
axes(handles.axes3);
imshow(fruit_matrix);
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3 仿真结果
4 参考文献
[1]杨霈. 基于matlab GUI的水果识别系统[J]. 电子制作, 2021(12):2.
博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。
部分理论引用网络文献，若有侵权联系博主删除。