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| author | priyanka | 2015-06-24 15:03:17 +0530 |
|---|---|---|
| committer | priyanka | 2015-06-24 15:03:17 +0530 |
| commit | b1f5c3f8d6671b4331cef1dcebdf63b7a43a3a2b (patch) | |
| tree | ab291cffc65280e58ac82470ba63fbcca7805165 /3176/CH10/EX10.16 | |
| download | Scilab-TBC-Uploads-b1f5c3f8d6671b4331cef1dcebdf63b7a43a3a2b.tar.gz Scilab-TBC-Uploads-b1f5c3f8d6671b4331cef1dcebdf63b7a43a3a2b.tar.bz2 Scilab-TBC-Uploads-b1f5c3f8d6671b4331cef1dcebdf63b7a43a3a2b.zip | |
initial commit / add all books
Diffstat (limited to '3176/CH10/EX10.16')
| -rw-r--r-- | 3176/CH10/EX10.16/Ex10_16.sce | 48 | ||||
| -rw-r--r-- | 3176/CH10/EX10.16/Ex_10_16_3.jpeg | bin | 0 -> 59325 bytes | |||
| -rw-r--r-- | 3176/CH10/EX10.16/Ex_10_16_4.jpeg | bin | 0 -> 49885 bytes |
3 files changed, 48 insertions, 0 deletions
diff --git a/3176/CH10/EX10.16/Ex10_16.sce b/3176/CH10/EX10.16/Ex10_16.sce new file mode 100644 index 000000000..4bc34098a --- /dev/null +++ b/3176/CH10/EX10.16/Ex10_16.sce @@ -0,0 +1,48 @@ +//Ex10_16
+// Optimum Global Thresholding using Otsu's Method
+// Version : Scilab 5.4.1
+// Operating System : Window-xp, Window-7
+//Toolbox: Image Processing Design 8.3.1-1
+//Toolbox: SIVP 0.5.3.1-2
+//Reference book name : Digital Image Processing
+//book author: Rafael C. Gonzalez and Richard E. Woods
+
+clc;
+close;
+clear;
+xdel(winsid())//to close all currently open figure(s).
+
+a=imread("Ex10_16.tif");
+a1=im2double(a);
+figure,ShowImage(a,'Gray Image');
+title('Original Image','color','blue','fontsize',4);
+[M,N]=size(a);
+
+[count cell]=imhist(a);
+figure,plot2d3(cell,count);
+title('Histogram','color','blue','fontsize',4);
+
+ //////////////////////////////// Global Threshold Approach /////////////////////////
+th_Global=iterthresh(a1);
+b1=im2bw(a1,th_Global);
+figure,ShowImage(b1,'Binary Image');
+title('Segmented Result Using Global Thresholding Algorithm','color','blue','fontsize',4);
+
+//////////////////////////////// Otsu Method /////////////////////////////
+
+normal_hist=count/(M*N);
+Sum=0;
+cumu_mean=0;
+for k=1:max(cell)+1
+ Sum=Sum+normal_hist(k);
+ P1(k)=Sum;
+ cumu_mean=cumu_mean+(k*normal_hist(k));
+ m(k)=cumu_mean;
+ Mg=cumu_mean;
+ sigma_B(k)=(((Mg*P1(k))-m(k))^2)/(%eps+(P1(k)*(1-P1(k))));
+end
+
+th_Otsu=find(sigma_B==max(sigma_B))+10;
+b2=im2bw(a1,(th_Otsu/255));
+figure,ShowImage(b2,'Binary Image');
+title('Segmented Result Using Otsu Thresholding Algorithm','color','blue','fontsize',4);
diff --git a/3176/CH10/EX10.16/Ex_10_16_3.jpeg b/3176/CH10/EX10.16/Ex_10_16_3.jpeg Binary files differnew file mode 100644 index 000000000..e69afe923 --- /dev/null +++ b/3176/CH10/EX10.16/Ex_10_16_3.jpeg diff --git a/3176/CH10/EX10.16/Ex_10_16_4.jpeg b/3176/CH10/EX10.16/Ex_10_16_4.jpeg Binary files differnew file mode 100644 index 000000000..de7628bee --- /dev/null +++ b/3176/CH10/EX10.16/Ex_10_16_4.jpeg |
