m基于深度学习的肉类新鲜度检测系统matlab仿真,带GUI操作界面
1.算法仿真效果
matlab2022a仿真结果如下:
2.算法涉及理论知识概要
数据采集:获取肉类样品在不同新鲜度阶段的图像数据,通常使用高分辨率相机拍摄并标注对应的新鲜度等级。
GoogleNet模型因其独特的“ inception ”模块而得名,这种模块设计旨在同时利用不同尺度的特征。传统的卷积层在同一层面上使用固定大小的滤波器,而Inception模块则在一个模块内部集成多种大小的卷积核以捕获多尺度信息。
Inception模块
一个基本的Inception模块可以包括1x1、3x3和5x5卷积层,以及一个最大池化层,所有层的输出都会进行线性组合。例如,对于一个通道数为c 的输入特征图,其经过1x1卷积层(用于减少计算量和维度),3x3和5x5卷积层进行特征提取,以及最大池化层后,各层输出分别记作 a,b,c,d,尺寸分别为′a′,b′,c′,d′,则总输出O 可以表示为:
GoogLeNet模型结构
整个GoogLeNet模型由一系列堆叠的Inception模块构成,还包括了辅助分类器以增强梯度传播和模型训练。每一层都有批量归一化(Batch Normalization)和ReLU激活函数进行非线性变换。
肉类新鲜度检测应用
在应用于肉类新鲜度检测时,首先将肉类图像输入到GoogLeNet模型中,通过多个层级的特征提取,模型最终会在顶层生成一个表示新鲜度等级的概率分布。假设我们有 K 类新鲜度级别,则输出层通过softmax函数给出各个级别的概率:
训练过程
模型的训练目标是最小化交叉熵损失函数:
3.MATLAB核心程序
% 设置训练选项 maxEpochs = NEpochs; Minibatch_Size = NMB; Validation_Frequency = floor(numel(Resized_Training_Dataset.Files)/Minibatch_Size); Training_Options = trainingOptions('sgdm', ... 'MiniBatchSize', Minibatch_Size, ... 'MaxEpochs', maxEpochs, ... 'InitialLearnRate', LR, ... 'Shuffle', 'every-epoch', ... 'ValidationData', Resized_Validation_Dataset, ... 'ValidationFrequency', Validation_Frequency, ... 'Verbose', false, ... 'Plots', 'training-progress'); % 使用训练选项训练网络 net = trainNetwork(Resized_Training_Dataset, New_Network, Training_Options); % 保存训练后的网络 save gnet.mat net function edit7_Callback(hObject, eventdata, handles) % hObject handle to edit7 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit7 as text % str2double(get(hObject,'String')) returns contents of edit7 as a double % --- Executes during object creation, after setting all properties. function edit7_CreateFcn(hObject, eventdata, handles) % hObject handle to edit7 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit 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 function edit8_Callback(hObject, eventdata, handles) % hObject handle to edit8 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit8 as text % str2double(get(hObject,'String')) returns contents of edit8 as a double % --- Executes during object creation, after setting all properties. function edit8_CreateFcn(hObject, eventdata, handles) % hObject handle to edit8 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit 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 function edit9_Callback(hObject, eventdata, handles) % hObject handle to edit9 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit9 as text % str2double(get(hObject,'String')) returns contents of edit9 as a double % --- Executes during object creation, after setting all properties. function edit9_CreateFcn(hObject, eventdata, handles) % hObject handle to edit9 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit 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 function edit10_Callback(hObject, eventdata, handles) % hObject handle to edit10 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit10 as text % str2double(get(hObject,'String')) returns contents of edit10 as a double % --- Executes during object creation, after setting all properties. function edit10_CreateFcn(hObject, eventdata, handles) % hObject handle to edit10 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit 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 function edit11_Callback(hObject, eventdata, handles) % hObject handle to edit11 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles structure with handles and user data (see GUIDATA) % Hints: get(hObject,'String') returns contents of edit11 as text % str2double(get(hObject,'String')) returns contents of edit11 as a double % --- Executes during object creation, after setting all properties. function edit11_CreateFcn(hObject, eventdata, handles) % hObject handle to edit11 (see GCBO) % eventdata reserved - to be defined in a future version of MATLAB % handles empty - handles not created until after all CreateFcns called % Hint: edit 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