1 简介
图像边缘是图像的最基本的特征.所谓边缘,就是指图像局部强度变化最明显的部分,存在于区域与区域,目标与目标,目标与背景,基元与基元之间,包含有图像处理中用于识别的关键信息.边缘检测是数字图像处理中,最基础也是最重要的环节之一. 本文介绍了3种经典的边缘检测算子,包括Sobel算子,Canny算子,Prewitt算子检测方法.并且利用MATLAB系统所提供的相关函数等,对同一副图像结合用这些不同的算子分别进行处理,分析并得到他们处理图像的特点.
2 部分代码
function varargout = guipic(varargin)% GUIPIC MATLAB code for guipic.fig% GUIPIC, by itself, creates a new GUIPIC or raises the existing% singleton*.%% H = GUIPIC returns the handle to a new GUIPIC or the handle to% the existing singleton*.%% GUIPIC('CALLBACK',hObject,eventData,handles,...) calls the local% function named CALLBACK in GUIPIC.M with the given input arguments.%% GUIPIC('Property','Value',...) creates a new GUIPIC or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before guipic_OpeningFcn gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to guipic_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 guipic% Last Modified by GUIDE v2.5 13-Mar-2021 17:27:58% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name', mfilename, ...'gui_Singleton', gui_Singleton, ...'gui_OpeningFcn', @guipic_OpeningFcn, ...'gui_OutputFcn', @guipic_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 guipic is made visible.function guipic_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 guipic (see VARARGIN)% Choose default command line output for guipichandles.output = hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes guipic wait for user response (see UIRESUME)% uiwait(handles.figure1);% --- Outputs from this function are returned to the command line.function varargout = guipic_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;% --- Executes on button press in ok.function ok_Callback(hObject, eventdata, handles)% hObject handle to ok (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)global im%选择图片路径[filename,pathname]=...uigetfile({'*.jpg';'*.bmp';'*.gif'},'选择图片');%合成路径加文件名str=[pathname filename];%读取图片im=imread(str);%使用第一个AXESaxes(handles.axes1);%显示图片imshow(im);% --- 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)close(gcf)
3 仿真结果



4 参考文献
[1]吴曦. 基于MATLAB的图像边缘检测算法的研究和实现[D]. 吉林大学.
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。
本文探讨了MATLAB中Sobel、Canny和Prewitt三种经典边缘检测算子的工作原理,并通过实例展示了它们在处理图像时的不同效果。通过实际操作,分析了每种算子在边缘检测上的优缺点,适合图像处理初学者和专业人士参考。
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