How to prevent the Illegal wood trade I did my final undergraduate project on image processing, It was about wood. Nowadays in Colombia there are at least 20 wood species in danger of extinction, due to illegal trade. The traffickers still doing this activity because is much more profitable, extracts certain amount of wood by an ilegal way than do it legally. So the Universidad Distrital has a big project, we are focusing to in the far future, to achieve an automatic identification of wood using wood image samples to prevent this problem. Avoid the illegal trade isn't easy. Because, the process since a sample is taken through associate this sample with a species, it's too long. At the present time, the responsible authorities placed checkpoints on the road to inspect trucks carrying wood but they cannot keep retaining a truck more than 3 days, after this time, they must let go this cargo. The more complex problem happends when trafickers mix illegal and legal wood, because it's much more complex distinguish both types. I just did a little bit of this project. To study wood samples, it's neccesary review four cells types. I made an algorithm to segment and measure features, just for one type of these cells. This project is part of a works series, that are looking for the automatic identification of wood from samples, with the purpose of reduce the time spent on this task and so then reduce the ilegal trade to prevent the woods deforestation in Colombia.