欢迎来到海神之光博客之家✅博主简介热爱科研的Matlab仿真开发者修心和技术同步精进个人主页海神之光代码获取方式海神之光Matlab王者学习之路—代码获取方式⛳️座右铭行百里者半于九十。更多Matlab图像处理仿真内容点击①Matlab图像处理进阶版②付费专栏Matlab图像处理初级版⛳️关注CSDN海神之光更多资源等你来⛄一、背景简介1 应用背景指针式机械表盘具有安装维护方便、结构简单、防电磁干扰等诸多优点 目前广泛应用于工矿企业、能源及计量等部门。随着仪表数量的增加及精密仪表技术的发展人工判读已经不能满足实际应用需求。随着计算机技术和图像处理技术的不断发展指针式机械表自动读表技术应运而生。该技术提高了表盘识别的自动化程度及实时性将代替传统工业仪表的读取方式得到广泛应用。2 目的1了解机械式表盘自动读表技术的基本原理。2了解仪器表盘识别技术的基本方法和相关算法。3学会利用MATLAB实现对图像的边缘检测、图像边缘锐化、二值化处理、Hough变换等图像处理技术。3 原理根据机械式表盘的图像特征采用图像边缘点法线方向计数累加的圆心定位方法及过定点的直线检测算法达到表盘识别的目标。仪表刻度检测流程如下: 摄像头采集表盘图像送入计算机进行预处理及边缘检测操作计算机检测出表盘回转中心及半径并定位出表盘的有效显示区域在此区域内利用过定点( 回转中心)的Hough 直线变换基于特征点对应角度的峰值搜索算法识别出指针中心线从而输出检测结果。4 要求1读取一副仪表图片。读入图像对图像进行预处理及边缘检测操作。2采用平滑滤波法对图像进行处理滤波的同时锐化图像的边缘。3通过对读入的仪表图像进行处理能清楚的识别表盘指针指数且具有较准确的识别精度。⛄二、部分源代码function varargout code(varargin)% CODE M-file for code.fig% CODE, by itself, creates a new CODE or raises the existing% singleton*.%% H CODE returns the handle to a new CODE or the handle to% the existing singleton*.%% CODE(‘CALLBACK’,hObject,eventData,handles,…) calls the local% function named CALLBACK in CODE.M with the given input arguments.%% CODE(‘Property’,‘Value’,…) creates a new CODE or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before code_OpeningFunction gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to code_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 code% Last Modified by GUIDE v2.5 05-Jan-2012 20:44:26% Begin initialization code - DO NOT EDITgui_Singleton 1;gui_State struct(‘gui_Name’, mfilename, …‘gui_Singleton’, gui_Singleton, …‘gui_OpeningFcn’, code_OpeningFcn, …‘gui_OutputFcn’, code_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 code is made visible.function code_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 code (see VARARGIN)% Choose default command line output for codehandles.output hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes code wait for user response (see UIRESUME)% uiwait(handles.figure1);backgroundImage importdata(‘yalibiao.jpg’);axes(handles.axes1);image(backgroundImage);axis off;% — Outputs from this function are returned to the command line.function varargout code_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 selection change in listbox1.function listbox1_Callback(hObject, eventdata, handles)% hObject handle to listbox1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% Hints: contents get(hObject,‘String’) returns listbox1 contents as cell array% contents{get(hObject,‘Value’)} returns selected item from listbox1% — Executes during object creation, after setting all properties.function listbox1_CreateFcn(hObject, eventdata, handles)% hObject handle to listbox1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called% Hint: listbox controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc isequal(get(hObject,‘BackgroundColor’), get(0,‘defaultUicontrolBackgroundColor’))set(hObject,‘BackgroundColor’,‘white’);end⛄三、运行结果⛄四、matlab版本及参考文献1 matlab版本2014a2 参考文献[1]侯忠辉,王毅,尤颖.基于数字图像处理的指针仪表识别技术研究[J].计算机与数字工程. 2019,47(04)3 备注简介此部分摘自互联网仅供参考若侵权联系删除 仿真咨询1 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化2 机器学习和深度学习方面卷积神经网络CNN、LSTM、支持向量机SVM、最小二乘支持向量机LSSVM、极限学习机ELM、核极限学习机KELM、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断3 图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知4 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化5 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配6 无线传感器定位及布局方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化7 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化8 电力系统方面微电网优化、无功优化、配电网重构、储能配置9 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长10 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合 【表盘识别】基于matlab GUI二值化指针式表盘识别【含Matlab源码 275期】
欢迎来到海神之光博客之家✅博主简介热爱科研的Matlab仿真开发者修心和技术同步精进个人主页海神之光代码获取方式海神之光Matlab王者学习之路—代码获取方式⛳️座右铭行百里者半于九十。更多Matlab图像处理仿真内容点击①Matlab图像处理进阶版②付费专栏Matlab图像处理初级版⛳️关注CSDN海神之光更多资源等你来⛄一、背景简介1 应用背景指针式机械表盘具有安装维护方便、结构简单、防电磁干扰等诸多优点 目前广泛应用于工矿企业、能源及计量等部门。随着仪表数量的增加及精密仪表技术的发展人工判读已经不能满足实际应用需求。随着计算机技术和图像处理技术的不断发展指针式机械表自动读表技术应运而生。该技术提高了表盘识别的自动化程度及实时性将代替传统工业仪表的读取方式得到广泛应用。2 目的1了解机械式表盘自动读表技术的基本原理。2了解仪器表盘识别技术的基本方法和相关算法。3学会利用MATLAB实现对图像的边缘检测、图像边缘锐化、二值化处理、Hough变换等图像处理技术。3 原理根据机械式表盘的图像特征采用图像边缘点法线方向计数累加的圆心定位方法及过定点的直线检测算法达到表盘识别的目标。仪表刻度检测流程如下: 摄像头采集表盘图像送入计算机进行预处理及边缘检测操作计算机检测出表盘回转中心及半径并定位出表盘的有效显示区域在此区域内利用过定点( 回转中心)的Hough 直线变换基于特征点对应角度的峰值搜索算法识别出指针中心线从而输出检测结果。4 要求1读取一副仪表图片。读入图像对图像进行预处理及边缘检测操作。2采用平滑滤波法对图像进行处理滤波的同时锐化图像的边缘。3通过对读入的仪表图像进行处理能清楚的识别表盘指针指数且具有较准确的识别精度。⛄二、部分源代码function varargout code(varargin)% CODE M-file for code.fig% CODE, by itself, creates a new CODE or raises the existing% singleton*.%% H CODE returns the handle to a new CODE or the handle to% the existing singleton*.%% CODE(‘CALLBACK’,hObject,eventData,handles,…) calls the local% function named CALLBACK in CODE.M with the given input arguments.%% CODE(‘Property’,‘Value’,…) creates a new CODE or raises the% existing singleton*. Starting from the left, property value pairs are% applied to the GUI before code_OpeningFunction gets called. An% unrecognized property name or invalid value makes property application% stop. All inputs are passed to code_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 code% Last Modified by GUIDE v2.5 05-Jan-2012 20:44:26% Begin initialization code - DO NOT EDITgui_Singleton 1;gui_State struct(‘gui_Name’, mfilename, …‘gui_Singleton’, gui_Singleton, …‘gui_OpeningFcn’, code_OpeningFcn, …‘gui_OutputFcn’, code_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 code is made visible.function code_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 code (see VARARGIN)% Choose default command line output for codehandles.output hObject;% Update handles structureguidata(hObject, handles);% UIWAIT makes code wait for user response (see UIRESUME)% uiwait(handles.figure1);backgroundImage importdata(‘yalibiao.jpg’);axes(handles.axes1);image(backgroundImage);axis off;% — Outputs from this function are returned to the command line.function varargout code_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 selection change in listbox1.function listbox1_Callback(hObject, eventdata, handles)% hObject handle to listbox1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles structure with handles and user data (see GUIDATA)% Hints: contents get(hObject,‘String’) returns listbox1 contents as cell array% contents{get(hObject,‘Value’)} returns selected item from listbox1% — Executes during object creation, after setting all properties.function listbox1_CreateFcn(hObject, eventdata, handles)% hObject handle to listbox1 (see GCBO)% eventdata reserved - to be defined in a future version of MATLAB% handles empty - handles not created until after all CreateFcns called% Hint: listbox controls usually have a white background on Windows.% See ISPC and COMPUTER.if ispc isequal(get(hObject,‘BackgroundColor’), get(0,‘defaultUicontrolBackgroundColor’))set(hObject,‘BackgroundColor’,‘white’);end⛄三、运行结果⛄四、matlab版本及参考文献1 matlab版本2014a2 参考文献[1]侯忠辉,王毅,尤颖.基于数字图像处理的指针仪表识别技术研究[J].计算机与数字工程. 2019,47(04)3 备注简介此部分摘自互联网仅供参考若侵权联系删除 仿真咨询1 各类智能优化算法改进及应用生产调度、经济调度、装配线调度、充电优化、车间调度、发车优化、水库调度、三维装箱、物流选址、货位优化、公交排班优化、充电桩布局优化、车间布局优化、集装箱船配载优化、水泵组合优化、解医疗资源分配优化、设施布局优化、可视域基站和无人机选址优化2 机器学习和深度学习方面卷积神经网络CNN、LSTM、支持向量机SVM、最小二乘支持向量机LSSVM、极限学习机ELM、核极限学习机KELM、BP、RBF、宽度学习、DBN、RF、RBF、DELM、XGBOOST、TCN实现风电预测、光伏预测、电池寿命预测、辐射源识别、交通流预测、负荷预测、股价预测、PM2.5浓度预测、电池健康状态预测、水体光学参数反演、NLOS信号识别、地铁停车精准预测、变压器故障诊断3 图像处理方面图像识别、图像分割、图像检测、图像隐藏、图像配准、图像拼接、图像融合、图像增强、图像压缩感知4 路径规划方面旅行商问题TSP、车辆路径问题VRP、MVRP、CVRP、VRPTW等、无人机三维路径规划、无人机协同、无人机编队、机器人路径规划、栅格地图路径规划、多式联运运输问题、车辆协同无人机路径规划、天线线性阵列分布优化、车间布局优化5 无人机应用方面无人机路径规划、无人机控制、无人机编队、无人机协同、无人机任务分配6 无线传感器定位及布局方面传感器部署优化、通信协议优化、路由优化、目标定位优化、Dv-Hop定位优化、Leach协议优化、WSN覆盖优化、组播优化、RSSI定位优化7 信号处理方面信号识别、信号加密、信号去噪、信号增强、雷达信号处理、信号水印嵌入提取、肌电信号、脑电信号、信号配时优化8 电力系统方面微电网优化、无功优化、配电网重构、储能配置9 元胞自动机方面交通流 人群疏散 病毒扩散 晶体生长10 雷达方面卡尔曼滤波跟踪、航迹关联、航迹融合