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The directory of this article is as follows:
Table of Contents
1 Overview
2 Operation results
3 References
4 Matlab code implementation
1 Overview
Welcome to the Color Image Processing GUI! This GUI provides a wealth of functions that allow you to perform various processing on color images. Whether it’s resizing and changing resolution, or performing operations such as color mapping, gamma correction, contrast adjustment, and color inversion, this GUI has you covered.
Let’s take a closer look at the various features of this GUI:
The editing features section includes options to resize and change resolution, giving you the freedom to adjust the size and resolution of your images to suit different needs. In addition, you can choose different color mapping methods to add different color effects and styles to your images.
Automatic settings options help you quickly perform operations such as gamma correction, contrast adjustment, and color inversion, allowing you to easily change the look and effect of your images. There are also advanced settings such as adjusting the red, green, and blue components as well as contrast, brightness, and rotation, allowing you to perform more precise image processing based on your personal needs.
Morphological dilation and erosion are important options for morphological processing of images, changing their shape and structure. The noise processing function provides a variety of options, such as Gaussian noise, Poisson noise, salt and pepper noise, and speckle noise, to help you remove noise interference from images.
The filter function provides various options such as Gaussian filter, average filter, median filter and unsharp filter, allowing you to smooth and enhance your images.
In addition to editing functions, this GUI also provides a number of analysis and measurement tools for original and edited images. You can measure distances, get pixel information, pixel area information, and crop images.
For image processing, you can view complete image information and RGB profiles to easily understand the properties and characteristics of the image. You can also select Finished and Selected Areas for more precise targeting of specific areas.
Through this GUI, you can easily process color images and implement different editing and analysis operations. Whether you are making basic adjustments and processing, or using advanced features such as automatic settings, morphological processing, noise processing, filters and measurement tools, this GUI can meet your needs and help you achieve outstanding image processing results. Try it now and you will find how powerful and convenient it is!
2 Operation results
Replace the picture you need
Part of the code:
% --- Executes during object creation, after setting all properties.
function strel_CreateFcn(hObject, eventdata, handles)
% hObject handle to strel (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles empty - handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc & amp; & amp; isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
function strelv_Callback(hObject, eventdata, handles)
% hObject handle to strelv (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles.value=str2num(get(hObject,'String'));
guidata(hObject,handles);
% Hints: get(hObject,'String') returns contents of strelv as text
% str2double(get(hObject,'String')) returns contents of strelv as a double
% --- Executes during object creation, after setting all properties.
function strelv_CreateFcn(hObject, eventdata, handles)
% hObject handle to strelv (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 & amp; & amp; isequal(get(hObject,'BackgroundColor'), get(0,'defaultUicontrolBackgroundColor'))
set(hObject,'BackgroundColor','white');
end
% — Executes during object creation, after setting all properties.
function strel_CreateFcn(hObject, eventdata, handles)
% hObject handle to strel (see GCBO)
% eventdata reserved – to be defined in a future version of MATLAB
% handles empty – handles not created until after all CreateFcns called
% Hint: popupmenu controls usually have a white background on Windows.
% See ISPC and COMPUTER.
if ispc & amp; & amp; isequal(get(hObject,’BackgroundColor’), get(0,’defaultUicontrolBackgroundColor’))
set(hObject,’BackgroundColor’,’white’);
end
function strelv_Callback(hObject, eventdata, handles)
% hObject handle to strelv (see GCBO)
% eventdata reserved – to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
handles.value=str2num(get(hObject,’String’));
guidata(hObject,handles);
% Hints: get(hObject,’String’) returns contents of strelv as text
% str2double(get(hObject,’String’)) returns contents of strelv as a double
% — Executes during object creation, after setting all properties.
function strelv_CreateFcn(hObject, eventdata, handles)
% hObject handle to strelv (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 & amp; & amp; isequal(get(hObject,’BackgroundColor’), get(0,’defaultUicontrolBackgroundColor’))
set(hObject,’BackgroundColor’,’white’);
end
3 References
Some of the content in the article is quoted from the Internet. The source will be indicated or cited as a reference. It is inevitable that there will be some unfinished information. If there is anything inappropriate, please feel free to contact us to delete it.
[1] Guan Congrong, Wang Hong. Color image processing GUI design based on RGB space [J]. Journal of Heilongjiang University of Engineering, 2008, 22(2):5.DOI:10.3969/j.issn.1671-4679.2008.02.020.
[2] Li Guangxin, Wu Weiping, Hu Jun. Infrared and color visible light image brightness-contrast transfer fusion algorithm [J]. China Optics, 2011, 4(2):8.DOI:10.3969/j.issn.2095-1531.2011.02.010 .
[3] Liu Lian, Guo Liqiang. Research on objective evaluation system for color image fusion based on GUI [J]. Journal of Huaiyin Normal University: Natural Science Edition, 2015, 14(4):7.DOI:CNKI:SUN:HYSK.0.2015 -04-008.
4 Matlab code implementation
The knowledge points of the article match the official knowledge files, and you can further learn related knowledge. OpenCV skill tree Home page Overview 22655 people are learning the system