Difference between revisions of "Visual Systems for Robots"
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== Part 1: Training on input image mainpulation == | == Part 1: Training on input image mainpulation == | ||
− | * download [[Media:pic1.jpg]] and [[Media:tr1.m]] | + | * ''download'' [[Media:pic1.jpg]] and [[Media:tr1.m]] |
− | * start ImageJ | + | * ''start'' ImageJ |
− | * open pic1.jpg | + | * ''open'' pic1.jpg |
* Image / Color / <S>RGB Split</S> Split Channels | * Image / Color / <S>RGB Split</S> Split Channels | ||
− | * apply Image / Lookup Tables / Red to pic1.jpg (red) | + | * ''apply'' Image / Lookup Tables / Red ''to'' pic1.jpg (red) |
− | * apply Image / Lookup Tables / Green to pic1.jpg (green) | + | * ''apply'' Image / Lookup Tables / Green ''to'' pic1.jpg (green) |
− | * apply Image / Lookup Tables / Blue to pic1.jpg (blue) | + | * ''apply'' Image / Lookup Tables / Blue ''to'' pic1.jpg (blue) |
* close everything | * close everything | ||
* open pic1.jpg | * open pic1.jpg |
Revision as of 05:37, 6 July 2010
by RNDr. Andrej Lúčny, PhD. (MicroStep-MIS, Ltd., Slovakia) presented at the Robotic Summer School 2010
Part 1: Training on input image mainpulation
- download Media:pic1.jpg and Media:tr1.m
- start ImageJ
- open pic1.jpg
- Image / Color /
RGB SplitSplit Channels - apply Image / Lookup Tables / Red to pic1.jpg (red)
- apply Image / Lookup Tables / Green to pic1.jpg (green)
- apply Image / Lookup Tables / Blue to pic1.jpg (blue)
- close everything
- open pic1.jpg
- apply Image / Type / 8bit to get gray image
- apply Process / Binary / Make Binary to get binary image
- start Octave or Matlab
- change directory to directory with this training by cd
- launch tr1