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Mail Archives: djgpp/1997/06/11/17:29:01

Message-ID: <339F15E6.5FE8@polbox.com>
Date: Wed, 11 Jun 1997 23:17:26 +0200
From: Tomasz Chojnacki <tcho AT polbox DOT com>
Reply-To: tcho AT polbox DOT com
MIME-Version: 1.0
To: tcho AT polbox DOT com, djgpp AT delorie DOT com
Subject: (no subject)

This is a multi-part message in MIME format.

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Dear Osei!

I am sending you original binary picture and an image
of Hough transform of that picture performed by my code.
I have marked the position of mentioned vertical line with the
white frame in the Hough transform picture. The line is placed
in the center of the frame. To be more accurate the line is not
exactly a line. It's a set of pixels which have value different from
the neighbourhood and are forming a line. The "line" has width
of one pixel. I have not marked the second "line" and you can see
it three pixels away from the left edge of the picture (that is for
theta=0, theta is starting from (-2*(PI/256)) - see the code).
I'm afraid that you will not see the "lines" in the printout.
I suggest magnifying the picture saving it to GIF file first and
then loading it into any graphic program.
At the zoom of 2:1 you have to notice the described "regularity".
In the magnified image there are also visible very slight
"regularities" at theta 45 and at theta 135 degrees (that is
at 1/4 and at 3/4 of the width of the picture).
I have to mention that "lines" appear not only with the sent
binary picture but with other pictures also when there is
a significant number of feature points and always at theta=0
and theta=90. This effect is more or less visible. I have
noticed that when the dimension of theta (in the hough space)
is an even number (e.g. 256) the effect is more visible and
when the dimension is an odd number (e.g. 255) the "lines" are
more "smooth".



my best regards

---------------
Tom Chojnacki
tcho AT polbox DOT com
---------------

Here are the pictures:

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