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made the examples a little more clear.

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--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%402345
This commit is contained in:
Davis King 2008-06-21 14:31:41 +00:00
parent 8314cc6856
commit 7226d0b68b
2 changed files with 16 additions and 15 deletions
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2
examples/image_ex.cpp
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@ -75,6 +75,8 @@ int main(int argc, char** argv)
return 1;
}
// Here we open the image file. Note that when you open a binary file with
// the C++ ifstream you must suplly the ios::binary flag.
ifstream fin(argv[1],ios::binary);
if (!fin)
{

29
examples/kcentroid_ex.cpp
View File

@ -79,13 +79,13 @@ int main()
// mean of the test points from the sinc function. So in this case our criterion for "significantly bigger"
// is > 3 or 4 standard deviations away from the above points that actually are on the sinc function.
cout << "Points that are NOT on the sinc function:\n";
m(0) = -1.5; m(1) = sinc(m(0))+4; cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -1.5; m(1) = sinc(m(0))+3; cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -0; m(1) = -sinc(m(0)); cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -0.5; m(1) = -sinc(m(0)); cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -4.1; m(1) = sinc(m(0))+2; cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -1.5; m(1) = sinc(m(0))+0.9; cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -0.5; m(1) = sinc(m(0))+1; cout << " " << test(m) << " is standard deviations from sinc: " << rs.scale(test(m)) << endl;
m(0) = -1.5; m(1) = sinc(m(0))+4; cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -1.5; m(1) = sinc(m(0))+3; cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -0; m(1) = -sinc(m(0)); cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -0.5; m(1) = -sinc(m(0)); cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -4.1; m(1) = sinc(m(0))+2; cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -1.5; m(1) = sinc(m(0))+0.9; cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
m(0) = -0.5; m(1) = sinc(m(0))+1; cout << " " << test(m) << " is " << rs.scale(test(m)) << " standard deviations from sinc." << endl;
// The output is as follows:
/*
@ -99,14 +99,13 @@ int main()
0.872628
Points that are NOT on the sinc function:
1.06306 is standard deviations from sinc: 125.137
1.0215 is standard deviations from sinc: 98.0313
0.92136 is standard deviations from sinc: 32.717
0.918282 is standard deviations from sinc: 30.7096
0.930931 is standard deviations from sinc: 38.9595
0.897916 is standard deviations from sinc: 17.4264
0.913855 is standard deviations from sinc: 27.822
1.06306 is 125.137 standard deviations from sinc.
1.0215 is 98.0313 standard deviations from sinc.
0.92136 is 32.717 standard deviations from sinc.
0.918282 is 30.7096 standard deviations from sinc.
0.930931 is 38.9595 standard deviations from sinc.
0.897916 is 17.4264 standard deviations from sinc.
0.913855 is 27.822 standard deviations from sinc.
*/
// So we can see that in this example the kcentroid object correctly indicates that