作为数字图像处理的关键技术,图像分割在图像分析系统中发挥了不可忽视的作用.随着科学技术的不断进步,有很多不同的算法被应用到图像分割技术中,但是最常用的分析方法包括基于阈值的分割方法,基于区域的分割方法,基于特定理论的分割方法以及基于边缘的分割方法.该文主要利用MATLAB软件对基于边缘的分割算法|基于阈值图像的分割算法、基于区域的图像分割进行仿真分析.

2 部分代码 function varargout = Segimage(varargin) gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ... 'gui_OpeningFcn', @Segimage_OpeningFcn, ... 'gui_OutputFcn', @Segimage_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 Segimage is made visible. function Segimage_OpeningFcn(hObject, eventdata, handles, varargin) handles.output = hObject; guidata(hObject, handles); % --- Outputs from this function are returned to the command line. function varargout = Segimage_OutputFcn(hObject, eventdata, handles) varargout{1} = handles.output; % -----载入图像 function inputimage_Callback(hObject, eventdata, handles) [filename, pathname] = uigetfile( ... {'.bmp;.jpg;.png;.tif;.jpeg', 'Image Files (.bmp;.jpg;.png;.tif;.jpeg)'; ... '.', 'All Files (.)'}, ... 'Pick an Image'); axes(handles.axes_src); fpath=[pathname filename]; img_src=imread(fpath); global S S=img_src; imshow(img_src); % -----绘制灰度直方图 function imhist_Callback(hObject, eventdata, handles) global S figure,imhist(S) % -------------------------------------------------------------------- function Thresholdmethod_Callback(hObject, eventdata, handles) % hObject handle to Thresholdmethod (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function Edgedet_Callback(hObject, eventdata, handles) % hObject handle to Edgedet (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % -------------------------------------------------------------------- function Areamethod_Callback(hObject, eventdata, handles) % hObject handle to Areamethod (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA)

3 仿真结果

4 参考文献 [1]王慧琴. 基于MATLAB的图像分割算法分析[J]. 中国新技术新产品, 2021(19):3.

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©著作权归作者所有：来自51CTO博客作者matlab科研助手的原创作品，请联系作者获取转载授权，否则将追究法律责任 【图像分割】基于迭代阈值+边缘检测+区域法三种算法实现图像分割含Matlab源码 https://blog.51cto.com/u_15287693/5208338