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Subject: 1009 -- Edge Detection
Date: Sat, 27 Dec 2008 04:38:01 +0800
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<HTML><HEAD><TITLE>1009 -- Edge Detection</TITLE>
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<TH class=3Dh>Online Judge</TH>
<TH class=3Dh>Problem Set</TH>
<TH class=3Dh>Authors</TH>
<TH class=3Dh>Online Contests</TH>
<TH class=3Dh>User</TH></TR>
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<DIV style=3D"RIGHT: 10px; POSITION: absolute">Language:<SELECT=20
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<DIV class=3Dptt lang=3Den-US>Edge Detection</DIV>
<DIV class=3Dplm>
<TABLE align=3Dcenter>
<TBODY>
<TR>
<TD><B>Time Limit:</B> 1000MS</TD>
<TD width=3D10></TD>
<TD><B>Memory Limit:</B> 10000K</TD></TR>
<TR>
<TD><B>Total Submissions:</B> 5906</TD>
<TD width=3D10></TD>
<TD><B>Accepted:</B> 1228</TD></TR></TBODY></TABLE></DIV>
<P class=3Dpst>Description</P>
<DIV class=3Dptx lang=3Den-US>IONU Satellite Imaging, Inc. records =
and stores=20
very large images using run length encoding. You are to write a =
program=20
that reads a compressed image, finds the edges in the image, as =
described=20
below, and outputs another compressed image of the detected edges. =
<BR>A=20
simple edge detection algorithm sets an output pixel's value to be =
the=20
maximum absolute value of the differences between it and all its=20
surrounding pixels in the input image. Consider the input image =
below:=20
<BR>
<CENTER><IMG=20
=
src=3D"http://acm.pku.edu.cn/JudgeOnline/images/1009_1.jpg"></CENTER><BR>=
The=20
upper left pixel in the output image is the maximum of the values=20
|15-15|,|15-100|, and |15-100|, which is 85. The pixel in the 4th =
row, 2nd=20
column is computed as the maximum of |175-100|, |175-100|, =
|175-100|,=20
|175-175|, |175-25|, |175-175|,|175-175|, and |175-25|, which is =
150.=20
<BR>Images contain 2 to 1,000,000,000 (10<SUP>9</SUP>) pixels. All =
images=20
are encoded using run length encoding (RLE). This is a sequence of =
pairs,=20
containing pixel value (0-255) and run length (1-10<SUP>9</SUP>). =
Input=20
images have at most 1,000 of these pairs. Successive pairs have =
different=20
pixel values. All lines in an image contain the same number of =
pixels.=20
<BR></DIV>
<P class=3Dpst>Input</P>
<DIV class=3Dptx lang=3Den-US>Input consists of information for =
one or more=20
images. Each image starts with the width, in pixels, of each image =
line.=20
This is followed by the RLE pairs, one pair per line. A line with =
0 0=20
indicates the end of the data for that image. An image width of 0=20
indicates there are no more images to process. The first image in =
the=20
example input encodes the 5x7 input image above. <BR></DIV>
<P class=3Dpst>Output</P>
<DIV class=3Dptx lang=3Den-US>Output is a series of edge-detected =
images, in=20
the same format as the input images, except that there may be more =
than=20
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