Visual Systems for Robots - Revision history

Balogh: /* Part 2: Training on 2D processing */

2010-07-06T10:45:45Z

‎Part 2: Training on 2D processing

2010-07-06T10:28:26Z

‎Part 4: Training on recognition

2010-07-06T10:28:14Z

‎Part 4: Training on recognition

2010-07-06T10:27:16Z

2010-07-06T05:41:26Z

2010-07-06T05:34:37Z

2010-07-06T05:34:15Z

2010-07-06T05:32:45Z

2010-07-06T05:27:36Z

2010-07-06T05:24:21Z

‎Part 3: Training on 3D processing

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 == Part 2: Training on 2D processing ==
 * ''start'' ImageJ
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 * change directory to directory with this training by <FONT Color="green"><TT>cd 'C:\Work\part2'</TT></FONT>
 * launch <FONT Color="green"><TT>tr2</TT></FONT>
 == Part 3: Training on 3D processing ==

← Older revision		Revision as of 10:28, 6 July 2010
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−	* Copy <FONT Color="green"><TT>Hough_Circles.class</TT></FONT> and <FONT Color="green"><TT>Hough_Circles.java</TT></FONT> into	+	* Copy <FONT Color="green"><TT>Hough_Circles.class</TT></FONT> and <FONT Color="green"><TT>Hough_Circles.java</TT></FONT> into <FONT Color="green"><TT>C:\Work\ImageJ\plugins\HoughTransform</TT></FONT> (or similar path)
−	<FONT Color="green"><TT>C:\Work\ImageJ\plugins\HoughTransform</TT></FONT> (or similar path)

@@ Line 88: / Line 88: @@
 * Copy <FONT Color="green"><TT>Hough_Circles.class</TT></FONT> and <FONT Color="green"><TT>Hough_Circles.java</TT></FONT> into
-<FONT Color="green"><TT>C:\Program Files\ImageJ\plugins\</TT></FONT> (or similar path)
+<FONT Color="green"><TT>C:\Work\ImageJ\plugins\HoughTransform</TT></FONT> (or similar path)
@@ Line 100: / Line 100: @@
 What will happen if we do not decrease number of white points
 by skeletonization ?
 == Software used ==

← Older revision		Revision as of 10:27, 6 July 2010
Line 100:		Line 100:
	What will happen if we do not decrease number of white points		What will happen if we do not decrease number of white points
	by skeletonization ?		by skeletonization ?
		+
		+
		+	== Software used ==
		+
		+	* Matlab or [http://www.octave.org Octave]
		+	* [http://rsbweb.nih.gov/ij/ ImageJ] (we assume it installed in C:\Work\ImageJ)

@@ Line 2: / Line 2: @@
 by ''RNDr. Andrej Lúčny, PhD.'' (MicroStep-MIS, Ltd., Slovakia) presented at the Robotic Summer School 2010
-* download accompanying workfiles [[Media:visual.zip]] for [[Image:IconMatlab.png]]or [[Image:IconOctave.png]]
+* You can use Matlab [[Image:IconMatlab.png]] or Octave [[Image:IconOctave.png]]
+* download accompanying workfiles [[Media:visual.zip]]
 * unzip (recommended to <FONT Color="green"><TT>C:\Work</TT></FONT>)

← Older revision		Revision as of 05:32, 6 July 2010
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		+	__NOTOC__
	by ''RNDr. Andrej Lúčny, PhD.'' (MicroStep-MIS, Ltd., Slovakia) presented at the Robotic Summer School 2010		by ''RNDr. Andrej Lúčny, PhD.'' (MicroStep-MIS, Ltd., Slovakia) presented at the Robotic Summer School 2010

← Older revision		Revision as of 05:27, 6 July 2010
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	(Hint2: The correct answer is half of very known and famous number)		(Hint2: The correct answer is half of very known and famous number)
		+
		+
		+
		+	== Part 4: Training on recognition ==
		+
		+	* start Octave or Matlab
		+	* change directory to directory with this training by <FONT Color="green"><TT>cd 'C:\Work\part4'</TT></FONT>
		+	* launch <FONT Color="green"><TT>tr4</TT></FONT>
		+
		+	This program recognizes orange color of ball and turn the image pic4.jpg to pic5.jpg
		+
		+
		+	* Copy <FONT Color="green"><TT>Hough_Circles.class</TT></FONT> and <FONT Color="green"><TT>Hough_Circles.java</TT></FONT> into
		+	<FONT Color="green"><TT>C:\Program Files\ImageJ\plugins\</TT></FONT> (or similar path)
		+
		+
		+	* ''start'' ImageJ
		+	* ''open'' pic5.jpg
		+	* ''turn it to binary:'' Process / Binary / Make Binary
		+	* Process / Binary / Dilate
		+	* Process / Binary / Skeletonize
		+	* Plugins / Hough Cricles / ''ask for 1 circle from 30 to 100 and the program should caclulate center of the circle''
		+
		+	What will happen if we do not decrease number of white points
		+	by skeletonization ?

@@ Line 63: / Line 63: @@
 * ''open'' pic3.jpg, depthX.jpg ''and'' depthY.jpg
-There is box and figure on the image pic3.jpg you can see that these images has the same resolution.
+There is box and figure on the image pic3.jpg -- you can see that these images has the same resolution.<BR>
-<TT>depthX</TT> represents X coordinate of surface point visibile at the particular pixel
+<TT>depthX</TT> represents X coordinate of surface point visibile at the particular pixel<BR>
 <TT>depthY</TT> represents Y coordinate