All in one Image Processing File

Question

Shoba 2013-9-4

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/86371-all-in-one-image-processing-file

I need to classify LISS 3 imagery in matlab environment to delineate the mangroves.

I have seen your All in one Image Processing files. I have copied all the files and placed in my local drive. when i am running the mainprogram.m i got some error as follows

??? Error using ==> load Unable to read file mainprogram.fig: No such file or directory.

Error in ==> hgload>localLoadFile at 177 AllVars = load(filename, '-mat');

Error in ==> hgload at 59 [FigVersion, FigData, VerNum] = localLoadFile(filename);

Error in ==> openfig at 72 [fig, savedvisible] = hgload(filename, struct('Visible','off'));

Error in ==> gui_mainfcn>local_openfig at 286 gui_hFigure = openfig(name, singleton, visible);

Error in ==> gui_mainfcn at 159 gui_hFigure = local_openfig(gui_State.gui_Name, gui_SingletonOpt, gui_Visible);

Error in ==> mainprogram at 43 gui_mainfcn(gui_State, varargin{:});

Kindly guide me in this regard. i have to complete my project. Please guide me in a right way sir..... it would be grateful if u point out the mistake i made...

Warm Regards Shoba P

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Shoba 2013-9-5

编辑：Walter Roberson 2013-9-5

在 MATLAB Online 中打开

Sir, i have got the mainprogram.fig file and the GUI has strated working. but i couldnt import my LISS 3 imagery. its not dispayed in the panel. Actually i want to run the code for 4 band(B,G,R,IR) LISS 3 data. But in the main program the code has written like

[flnm flpth fltind] = uigetfile({'*.tif';'*.dat'},'Select 7 Band of Landsat Images','MultiSelect','on');
if fltind~=0
    if length(flnm)==7 && ischar(flnm)==0
        for i=1:7
            ext(1,i)=regexp(flnm{1,i},'[.]');
            extdat(1,i)=strcmp('.dat',flnm{1,i}(ext(1,i):end));
            exttif(1,i)=strcmp('.tif',flnm{1,i}(ext(1,i):end));
        end
        if length(find(extdat==1))==7
            for i=1:7
                impt= fopen([flpth flnm{1,i}],'r');
                pp= fread(impt,[2048 2048]);
                imp{i,1}=double(pp');
                fclose(impt);
                clear impt
            end
        elseif length(find(exttif==1))==7
            for i=1:7
                imp{i,1}= double(imread([flpth flnm{1,i}]));
            end
        end
        set(handles.importim,'checked','on')
        set(handles.rgbpush,'enable','on')
        set(handles.graypush,'enable','on')
        set(handles.prmn,'enable','on')
    else
        set(handles.importim,'checked','off')
        set(handles.rgbpush,'enable','off')
        set(handles.graypush,'enable','off')
        set(handles.prmn,'enable','off')
    end
end

i am loading 4 band imagery. what should i do? should i change the main program?

Walter Roberson 2013-9-5

openfig() is called automatically when you run a GUIDE gui. openfig() calls various levels, eventually getting down to loading the .fig file. .fig files are .mat format.

Shoba 2013-9-5

在 MATLAB Online 中打开

It starts working after changing the band no from 7 to 4 in mainprogram. But while doing supervised classification by maximum likelihood method i got empty matrix for mean function as follows k=str2double(inputdlg({'Band1(Training):'},'Select',1,{'4'})); if ~isempty(k) img1=imp{k(1),1}'; img2=imp{2,1}'; img3=imp{3,1}'; img4=imp{1,1}'; % img5=imp{5,1}'; % img7=imp{7,1}'; axes(handles.importaxes); imshow(uint8(img1')) siz=size(img1); [x_c1 y_c1]=ginput(2); [x_c2 y_c2]=ginput(2); [x_c3 y_c3]=ginput(2); xc1=fix(y_c1);yc1=fix(x_c1); xc2=fix(y_c2);yc2=fix(x_c2); xc3=fix(y_c3);yc3=fix(x_c3); wbn = waitbar(0,'Please Wait...','Name','Calculating'); waitbar(.75,wbn,sprintf('%3.0f %%',25)); %%%%% Class1 Statistics %%%%%%%%%\

    c1_1=img1(xc1(1):xc1(2),yc1(1):yc1(2));
    c1_1_mean=meanfnc(c1_1);

Error Empty matrix: 1-by-0

so i couldnt get the classified output. kindly help me to solve this issue. Thanks in advance Shoba

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Answer 1

Image Analyst 2013-9-5

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https://ww2.mathworks.cn/matlabcentral/answers/86371-all-in-one-image-processing-file#answer_95883

Probably. Give that a try.

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