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Fixing Photos




We've been doing a lot of ebay sales lately to reduce our stock of robotic components. While we're not photographers we do know images. This tutorial goes over a couple of the techniques that we've used to correct our bad product photos into something much more appealing ... as we all know, good photos in ebay make the difference between a good and bad sale.

Following is a couple examples on how to fix bad photos using modules within RoboRealm.

GPS device original photo. Camera switched to bad lighting during photo shoot. Hard to read text and really see what the device is.

Using the Normalize module set to ignore 40% of the tailing values the image lighting is significantly improved.

Using the Rotate module we can rotate the image slightly (by 1.2 degrees) to straighten the image out.




FitPC device original photo. Background is not quite white.

Using the Normalize module helps to make it more white. But now the details of the device are washed out by the increased in contrast.

Adding in the Raise Histogram module will crunch the intensity values in a non-linear way to bring out lower intensity values better. This module will create a more grayish image but the normalize module undoes this. For objects that are dark colored this module really helps bring out the details and has been invaluable in improving electronic/circuit details.

Download the  fitpc_image robofile to see the steps and more about the modules used.




RFDuino (Arduino + Bluetooth) device original photo. Overall image is colored incorrectly. Bit too much perspective to get an idea on the size.

Using the Color Balance module we can easily fix the incorrect coloring. (default settings)

In perpetration of bringing out the details of the chip we use the Raise Histogram module. This creates a not-so-nice looking image but increases the darker areas to be more visible.

Using the Normalize module fixes the visual issues that the raise histogram module created but still keeps the details we are looking for.

Using the Perspective module we can help reduce the perspective distortion (the board is square and not triangular) to make the image appear taken more from above than from the side.

Finally using the Crop module we can remove unwanted parts and scale to the final ideal size.

Download the  RFDuino_image robofile to see the steps and more about the modules used.




Lego RCX original image. Slightly out of focus and can't quite see the running man in the LCD interface.

Use the Rotate module to get the right orientation.

Multiple use of the Convolution module with the Enhanced Focus setting to improve the clarify of the image. Note, there are limits to the usage of this module. Slightly out of focus can be corrected but the image will become very grainy after multiple uses.

Use of the Raise Histogram module to make the contents of the LCD image more legible.

Download the  RCX_image robofile to see the steps and more about the modules used.




Laser Leveller original image. Background is dark but we want to keep the laser light.

Using the Color Balance fixes the color distortion that would be more apparent when Normalized. The overall image appears less yellow.

Using the Normalize module fixes the lighting but loses the laser light since the red color gets removed from the normalization process.

Instead we first use the Hue module that increases the laser color. Laser light typically overpowers a camera's pixels and produces more of a white light which is why the normalization process removes the line. Using the Hue module will increase that color. Note how much more red the laser light appears.

After the hue module we can rerun the Normalize module which now produces a good background with the red laser light. Also note how the red part of the leveller is also more pronounced.

Download the  Laser_image robofile to see the steps and more about the modules used.

The End

That's all folks. We hope you've enjoyed this little adventure into an application of machine vision processing and have inspired you to download a free trial of our software.

If you have any questions or comments about this tutorial please feel free to contact us.

Have a nice day!


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