基于Seam+Carving和显著性分析的图像缩放方法MATLAB仿真
本课题的主要工作是使用seam+carving算法对图像进行非等比例缩放以及无缝拼接，关于seam+caring算法的理论，这里不再重复，主要见如下的参考文献（已经提供）。
下面介绍本系统的主要操作方法以及对应的函数说明：
打开图片：
选择图片：
得到如下的仿真结果：
下面开始非等比例缩放：
从上面的图中，你可以看到人物的大小基本不变，然偶人物上方的蓝天的背景基本被缩小了。这个就是非等比例缩放的效果.
无缝拼接，利用seam-curing算法对图片进行裁剪。
部分代码如下：
func_addpath();
[FileName,PathName] = uigetfile('*.*','选择图像');
FullPathName = [PathName,'\',FileName];
Image_RGB = imread(FullPathName);
%保存图片的相关参数信息到句柄函数handles中
handles.Image_RGB = double(Image_RGB)/255;
handles.Idata = (handles.Image_RGB);
handles.dispX = handles.Idata;
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
handles.Engry = func_gradient(handles.Idata);
handles.dispE = handles.Engry;
handles.dispS = zeros(handles.rows, handles.cols);
figure(1);
imshow(Image_RGB);
set(handles.edit1,'String',num2str(handles.cols));
set(handles.edit2,'String',num2str(handles.rows));
axes(handles.axes3);
imshow(Image_RGB);
guidata(hObject,handles);
%垂直Seam缩小
function RemVerSeam_Callback(hObject, eventdata, handles)
% hObject handle to RemVerSeam (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
if(handles.rows>1&&handles.cols>1)
%根据梯度信息计算Seam
handles.seam = func_find_seam(handles.Engry);
handles.SeamVector = func_all_seam(handles.seam);
%删除seam
handles.Idata = func_ReSeam(handles.Idata,handles.SeamVector);
handles.Engry = func_ReSeam(handles.Engry,handles.SeamVector);
handles.seam = func_ReSeam(handles.seam,handles.SeamVector);
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
set(handles.edit1,'String',num2str(handles.cols));
set(handles.edit2,'String',num2str(handles.rows));
handles.dispX = func_seam_view(handles.Idata , handles.SeamVector);
handles.dispE = func_seam_view(handles.Engry , handles.SeamVector);
handles.dispS = func_seam_view(handles.seam , handles.SeamVector);
figure(1);
imshow(handles.dispX);
guidata(hObject,handles);
end
%水平Seam缩小
function RemHorizSeam_Callback(hObject, eventdata, handles)
% hObject handle to RemHorizSeam (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
if (handles.rows>1&&handles.cols>1)
handles.Idata = permute(handles.Idata,[2,1,3]);%旋转
handles.Engry = handles.Engry.';
handles.seam = func_find_seam(handles.Engry);
handles.SeamVector = func_all_seam(handles.seam);
handles.Idata = func_ReSeam(handles.Idata , handles.SeamVector);
handles.Engry = func_ReSeam(handles.Engry , handles.SeamVector);
handles.seam = func_ReSeam(handles.seam , handles.SeamVector);
handles.Idata = permute(handles.Idata,[2,1,3]);
handles.Engry = handles.Engry.';
handles.seam = handles.seam.';
handles.dispX = permute(func_seam_view(permute(handles.Idata,[2,1,3]),handles.SeamVector),[2,1,3]);
handles.dispE = func_seam_view(handles.Engry.',handles.SeamVector).';
handles.dispS = func_seam_view(handles.seam.',handles.SeamVector).';
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
set(handles.edit1,'String',num2str(handles.cols));
set(handles.edit2,'String',num2str(handles.rows));
figure(1);
imshow(handles.dispX);
guidata(hObject,handles);
end
%自动缩放
function Resize_Callback(hObject, eventdata, handles)
% hObject handle to Resize (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
%获得需要变换的图像的像素大小值
%获得需要变换的图像的像素大小值
newcols = str2double(get(handles.edit1,'String'));
newrows = str2double(get(handles.edit2,'String'));
Rcols = handles.cols-newcols;
Rrows = handles.rows-newrows;
if Rcols>0
clear M
M = func_removal(handles.Idata,Rcols);
handles.Idata = func_ReSeam(handles.Idata,M);
handles.Engry = func_ReSeam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
elseif Rcols<0
clear M
M = func_removal(handles.Idata,abs(Rcols));
handles.Idata = func_new_Seam(handles.Idata,M);
handles.Engry = func_new_Seam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
end
if Rrows>0
clear M
Y = permute(handles.Idata,[2,1,3]);
M = func_removal(Y,Rrows);
handles.Idata = permute(func_ReSeam(Y,M),[2,1,3]);
handles.Engry = func_ReSeam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
elseif Rrows<0
clear M
Y = permute(handles.Idata,[2,1,3]);
M = func_removal(Y,abs(Rrows));
handles.Idata = permute(func_new_Seam(Y,M),[2,1,3]);
handles.Engry = func_new_Seam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
end
handles.dispX = handles.Idata;
handles.dispE = handles.Engry;
handles.dispS = handles.seam;
%更新操作后的图像大小
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
figure(1);
imshow(handles.dispX);
set(handles.edit1,'String',num2str(handles.cols));
set(handles.edit2,'String',num2str(handles.rows));
guidata(hObject,handles);
%系统复位，图像还原
function Reset_Callback(hObject, eventdata, handles)
func_addpath();
handles.Idata = handles.Image_RGB;
handles.dispX =handles.Idata;
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
handles.Engry = func_gradient(handles.Idata);
handles.dispE = handles.Engry;
handles.dispS = zeros(handles.rows,handles.cols);
figure(1);
imshow(handles.dispX);
set(handles.edit1,'String',num2str(handles.cols));
set(handles.edit2,'String',num2str(handles.rows));
guidata(hObject,handles);
% --------------------------------------------------------------------
function Open_Callback(hObject, eventdata, handles)
% hObject handle to OpenImg (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
% --------------------------------------------------------------------
function File_Callback(hObject, eventdata, handles)
% hObject handle to File (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
function edit1_Callback(hObject, eventdata, handles)
% hObject handle to edit1 (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 edit1 as text
% str2double(get(hObject,'String')) returns contents of edit1 as a double
%
% NewVal = get(hObject,'String');
% handles.edit1 = NewVal;
% guidata(hObject,handles);
% --- Executes during object creation, after setting all properties.
function edit1_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit1 (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 edit2_Callback(hObject, eventdata, handles)
% hObject handle to edit2 (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 edit2 as text
% str2double(get(hObject,'String')) returns contents of edit2 as a double
%
% NewVal = str2double(get(hObject,'String'));
% handles.edit2 = NewVal;
% guidata(hObject,handles);
% --- Executes during object creation, after setting all properties.
function edit2_CreateFcn(hObject, eventdata, handles)
% hObject handle to edit2 (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
% --- Executes on button press in pushbutton8.
function pushbutton8_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton8 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
clc;
clear all;
close all;
% --- Executes on button press in pushbutton9.
function pushbutton9_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton9 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
a = str2double(get(handles.edit5,'String'));
b = str2double(get(handles.edit6,'String'));
handles.Idata = handles.Image_RGB;
handles.dispX = handles.Idata;
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
Images1 = handles.Idata(1:a,:,:);
Images2 = handles.Idata(a+1:handles.rows,:,:);
Rcols = 0;
Rrows = round(b/2);
if Rrows>0
clear M
Y = permute(Images1,[2,1,3]);
M = func_removal(Y,Rrows);
Images1 = permute(func_ReSeam(Y,M),[2,1,3]);
handles.Engry = func_ReSeam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images1,1);
handles.cols = size(Images1,2);
handles.dim = size(Images1,3);
elseif Rrows<0
clear M
Y = permute(Images1,[2,1,3]);
M = func_removal(Y,abs(Rrows));
Images1 = permute(func_new_Seam(Y,M),[2,1,3]);
handles.Engry = func_new_Seam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images1,1);
handles.cols = size(Images1,2);
handles.dim = size(Images1,3);
end
if Rrows>0
clear M
Y = permute(Images2,[2,1,3]);
M = func_removal(Y,Rrows);
Images2 = permute(func_ReSeam(Y,M),[2,1,3]);
handles.Engry = func_ReSeam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images2,1);
handles.cols = size(Images2,2);
handles.dim = size(Images2,3);
elseif Rrows<0
clear M
Y = permute(Images2,[2,1,3]);
M = func_removal(Y,abs(Rrows));
Images2 = permute(func_new_Seam(Y,M),[2,1,3]);
handles.Engry = func_new_Seam(handles.Engry.',M).';
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images2,1);
handles.cols = size(Images2,2);
handles.dim = size(Images2,3);
end
axes(handles.axes4);
finals(:,:,1) = [Images1(:,:,1);Images2(:,:,1)];
finals(:,:,2) = [Images1(:,:,2);Images2(:,:,2)];
finals(:,:,3) = [Images1(:,:,3);Images2(:,:,3)];
imshow(finals);
guidata(hObject,handles);
% --- Executes on button press in pushbutton10.
function pushbutton10_Callback(hObject, eventdata, handles)
% hObject handle to pushbutton10 (see GCBO)
% eventdata reserved - to be defined in a future version of MATLAB
% handles structure with handles and user data (see GUIDATA)
func_addpath();
a = str2double(get(handles.edit3,'String'));
b = str2double(get(handles.edit4,'String'));
handles.Idata = handles.Image_RGB;
handles.dispX =handles.Idata;
handles.rows = size(handles.Idata,1);
handles.cols = size(handles.Idata,2);
handles.dim = size(handles.Idata,3);
Images1 = handles.Idata(:,1:a,:);
Images2 = handles.Idata(:,a+1:handles.cols,:);
Rcols = round(b/2);
Rrows = 0;
if Rcols>0
clear M
M = func_removal(Images1,Rcols);
Images1 = func_ReSeam(Images1,M);
handles.Engry = func_ReSeam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images1,1);
handles.cols = size(Images1,2);
handles.dim = size(Images1,3);
elseif Rcols<0
clear M
M = func_removal(Images1,abs(Rcols));
Images1 = func_new_Seam(Images1,M);
handles.Engry = func_new_Seam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images1,1);
handles.cols = size(Images1,2);
handles.dim = size(Images1,3);
end
if Rcols>0
clear M
M = func_removal(Images2,Rcols);
Images2 = func_ReSeam(Images2,M);
handles.Engry = func_ReSeam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images2,1);
handles.cols = size(Images2,2);
handles.dim = size(Images2,3);
elseif Rcols<0
clear M
M = func_removal(Images2,abs(Rcols));
Images2 = func_new_Seam(Images2,M);
handles.Engry = func_new_Seam(handles.Engry,M);
handles.seam = func_find_seam(handles.Engry);
%更新操作后的图像大小
handles.rows = size(Images2,1);
handles.cols = size(Images2,2);
handles.dim = size(Images2,3);
end
A23-04
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