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一、简介/ R( G& B0 W* D( h
5 D( Z) a$ @" r9 l- K* {图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出感兴趣目标的技术和过程。它是由图像处理到图像分析的关键步骤。现有的图像分割方法主要分以下几类:基于阈值的分割方法、基于区域的分割方法、基于边缘的分割方法以及基于特定理论的分割方法等。从数学角度来看，图像分割是将数字图像划分成互不相交的区域的过程。图像分割的过程也是一个标记过程，即把属于同一区域的像素赋予相同的编号。; w( w6 |0 F" {" V p' `: C
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二、源代码7 a2 v3 D2 N$ P! t1 j4 N' {
# g/ w2 n# u b. @4 K
! o0 e1 F4 h6 u/ n- function varargout = ImageGUI(varargin)
- % IMAGEGUI MATLAB code for ImageGUI.fig
- % IMAGEGUI, by itself, creates a new IMAGEGUI or raises the existing
- % singleton*.
- %
- % H = IMAGEGUI returns the handle to a new IMAGEGUI or the handle to
- % the existing singleton*.
- %
- % IMAGEGUI('CALLBACK',hObject,eventData,handles,...) calls the local
- % function named CALLBACK in IMAGEGUI.M with the given input arguments.
- %
- % IMAGEGUI('Property','Value',...) creates a new IMAGEGUI or raises the
- % existing singleton*. Starting from the left, property value pairs are
- % applied to the GUI before ImageGUI_OpeningFcn gets called. An
- % unrecognized property name or invalid value makes property application
- % stop. All inputs are passed to ImageGUI_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 ImageGUI
- % Copyright 2011 The MathWorks, Inc.
- % Last Modified by GUIDE v2.5 09-Jun-2015 20:18:33
- % Begin initialization code - DO NOT EDIT
- gui_Singleton = 1;
- gui_State = struct('gui_Name', mfilename, ...
- 'gui_Singleton', gui_Singleton, ...
- 'gui_OpeningFcn', @ImageGUI_OpeningFcn, ...
- 'gui_OutputFcn', @ImageGUI_OutputFcn, ...
- 'gui_LayoutFcn', [] , ...
- 'gui_Callback', []);
- if nargin && ischar(varargin{1})
- gui_State.gui_Callback = str2func(varargin{1});
- end
- _/ R1 i9 w2 O/ I2 F! ^ O q/ R
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三、运行结果. }, m( o0 Y. G2 n: u* y
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发表于 2021-7-8 11:23
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