1 简介
许多研究结果表明,水果损失主要集中在采摘,包装,保存等环节,达到近三分之一,其中一个重要的原因为不同成熟度的水果相互混杂.因而,区分水果的成熟度并进行筛选加工处理,对于提升水果等级,改善水果品质有重要意义.本文应用MATLAB图像处理技术对水果成熟度进行检测,系统通过给定的图片中分割出水果图片,然后对水果图片进行二值化和滤波等分析处理,最后依据香蕉的色素组成检测出不同成熟度的水果.
2 部分代码
function varargout = GUIzyp(varargin)% GUIZYP MATLAB code for GUIzyp.fig% GUIZYP, by itself, creates a new GUIZYP or raises the existing% singleton*.%% H = GUIZYP returns the handle to a new GUIZYP or the handle to% the existing singleton*.%% GUIZYP('CALLBACK',hObject,eventData,handles,...) calls the local% function named CALLBACK in GUIZYP.M with the given input arguments.%% GUIZYP('Property','Value',...) creates a new GUIZYP or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before GUIzyp_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to GUIzyp_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 GUIzyp% Last Modified by GUIDE v2.5 10-Jun-2017 22:22:31% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ...'gui_Singleton', gui_Singleton, ...'gui_OpeningFcn', @GUIzyp_OpeningFcn, ...'gui_OutputFcn', @GUIzyp_OutputFcn, ...'gui_LayoutFcn', [] , ...'gui_Callback', []);if nargin && ischar(varargin{1})gui_State.gui_Callback = str2func(varargin{1});endif nargout[varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});elsegui_mainfcn(gui_State, varargin{:});end% End initialization code - DO NOT EDIT% --- Executes just before GUIzyp is made visible.function GUIzyp_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 GUIzyp (see VARARGIN)% Choose default command line output for GUIzyphandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes GUIzyp wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = GUIzyp_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 structurevarargout{1} = handles.output;
3 仿真结果




4 参考文献
[1]周镭. 基于MATLAB图像处理的棉纤维成熟度检测系统的开发[J]. 山东纺织科技, 2017, 58(5):4.
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。
该文利用MATLAB图像处理技术对水果成熟度进行检测,通过图像分割、二值化和滤波等步骤,针对香蕉的色素变化进行分析,旨在提升水果品质和分级效果。提供了部分代码实现,并提及了相关参考文献。
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