Finding Values From Arrays

Hi Experts,

I have the following lines of code

I =

    I = imread(abc.jpg)

        [idx,C] = adaptcluster_kmeans(I);

idx =

            a     = unique(idx); //Unique values from idx e.g 1 2 3
            out   = [a,histc(idx(:),a)];//Frequency of unique value
            e.g
            1  18221
            2  28383
            3  18080

            [a,ix]= max(out(:,2)); //max unique value and its index
            a = 28383  ix = 2
Now what i want to do is to use this 'ix' and extract the corresponding pixel values and store them in an  excel file....

e.g ix = 2 in this case then i want to extract

Can any help how i can achieve this

Regards & Thanks

Answer 1

[Mahdiyar]

Hi rizwan

You can simply use the "find" command line.

[row column] = find(idx == ix)

Regards

[rizwan]

Thanks Mahdiyar,

It works, it is now storing

Row = 21 24 26 27 34 35 103 104 105 21 22 27 33 34 35 36 37 81 82 83 102 103 104 105 106 20 21 22 23 24

Col = 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3

Now i want to use row , col information to extract the pixels from original image and store the pixels in any variable at the same location where they exists in the original image.For this what i did is ....

   mx_row = max(row);
      mx_col = max(col);
      for i =1 : max(row)
          for j= 1: max(col)
              cp = I(i,j);
          end

and another try was

    [row , col] = find(idx == ix);
      mx_row = max(row);
      mx_col = max(col);
      cp = [mx_row ; mx_col];

Please help I shall be very thank full to you

Thanks and Regards

[Mahdiyar]

Hi

As I understood you just want to store the found pixel in the new variable in the exactly the same position (Row and Column). If so, you may follow the code below.

New_Variable = zeros(n, m); % n and m are the row and column of the matrix in which the original image is saved
for i=1:lenght(Row)
    New_Variable(Row(i), Col(i)) = Original_Image(Row(i), Col(i));
end

I think now it works. Regards,

[rizwan]

Thanks Can You please help me in my svm implementation

clc;
  clear all;  
  %%%%%%%%%%%%%svm training%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    data                  =   [60  61  62  63  64  65  66  67  68  69  70  71  72  73  74  75  76  77  78  79  80  81  82  83  84  85  86  87  88  89  90  91  92  93  94  95  96  97  98  99  100  101  102  103  104  105  106  107  108  109  110  111  112  113  114  115  116  117  118  119  120  121  122  123  124  125  126  127  128  129  130  131  132  133  134  135  136  137  138  139  140  141  142  143  144  145  146  147  148  149  150  151  152  153  154  155  156  157  158  159  160  161  162  163  164  165  166  167  168  169  170  171  172  173  174  175  176  177  178  179  180  181  182  183  184  185  186  187  188  189  190  191  192  193  194  195  196  197  198  199  200  201  202  203  204  205  206  207  208  209  210  211  212  213  214  215  216  217  218  219  220  221  222  223  224  1  2  3  4  5  6  7  8  9  10  11  12  13  14  15  16  17  18  19  20  21  22  23  24  25  26  27  28  29  30  31  32  33  34  35  36  37  38  39  40  41  42  43  44  45  46  47  48  49  50  51  52  53  54  55  56  57  58  59  225  226  227  228  229  230  231  232  233  234  235  236  237  238  239  240  241  242  243  244  245  246  247  248  249  250  251  252  253  254  255];
  label                 =   ['Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';'Y';   'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'N';'  N';'N';'N';'N';'N';'N';'N';];
  species               =   cellstr(label);
  groups                =   ismember(species,'Y');
  SVMModel              =   svmtrain(data,label,'showplot',true,'kernel_function','rbf');

    %%%%%%%%%%%%%svm training%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    %%%%%%%%%%%%%svm Testing%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

    load 'D:\MS\Research\Classification Model\Research Implementation\test.mat'; % loading test data i.e cp
    [rI,cI]               =   size(cp);% size of test data  

    resultantImage        =   zeros(rI,cI);  % image to store road / non road pixels
     for i=1:rI  %loop to generate a classified image

      classes           =   svmclassify(SVMModel,cp(i),'Showplot', true); % passting test pixels and storing classifier restult in classes (Y or N)
    index(cp(i))  
      if (classes == 'Y')
          resultantImage(rI(i), cI(i)) = 1; % If classess is Y then store 1 at the coresponding location of cp
          classes = 1;
      else if (classes == 'N')
              resultantImage(rI(i), cI(i)) = 0;
          end
      end
   end

I m confused in the above loop,what i want to achieve in the loop is

1: Pass each pixel to classifier and store the results, it is working fine in code line classes=svmclassify(SVMModel,cp(i),'Showplot', true);

2: Now what i want to do is to mark the this pixel as 1 or 0 and store the result at the same location as it exists in cp

Please help in above two points.