Here, houses are amazingly alive.
Here is one of our Matoutou (there are at least two):
We will have a small threshold to distinguish it from the bottom.
That, like this.
The program searches the petioles and stem.
That's done and he was then able to calculate the area of leaves.
And here are the petioles.
They are grouped in pairs to identify nodes.
And that's it!
Reality of operation: manual, 12 to 25 minutes of action per shoot, without measuring the area of leaves (only length and width). For information: 5mn photo, 1 min of treatment.
Any beneficial! ... except for me, since I spent umpteen hours to write the program in question and to debug ...
The pins hold the green stem and leaves stretched, red pins mark a leaf scar, and yellow pins are spaced 5cm and can deliver all scale taking into account the deformation related to the photo.
Then he had to write a small program to process these images, a program that isolates the leaves, class and measure their area, find the nodes, and measuring the areas between the nodes, and gathers all ... A
After all this effort is, my supervisor decided to take the opportunity to see if there is a correlation between different markers in UA Qualea: the length between nodes, and using the leaves. In addition to allowing us to pinpoint the CPU, this could be the basis for a model calculating the leaf area from the lengths of internodes ... more need to measure the leaves on the ground (which is very tedious), a simple measure of length would have been enough! So
graphics outputs: Virola on first;
must initially thresholded image. Not very complicated ... The program recorks holes sheets etc. ...
And the despair of those who cotoyent a little longer saw his tendency to touch everything, to piss everywhere, and his skill in stealing food. Quite simply, when it is there, everything that is not under our eyes should be shut ...