Hello
I would like to use the Design of Experiment (DoE) in object detection. My target is to detect airplane door. For this case I extract and detect relevant features in the door such as door Window, Door Handle, Text boxes, Door Arrow, Door Frames in the Airplane door. So I would like to perform DoE to find out the influence of this individual features in the final door position identification. The problem is that I do not have any levels in the input factors. So like input factor is door handle, it doesn't have any levels. So, my conditioner is if it is possible still to perform DoE or need to search for other methods?
My input factors dont have any level, They are detected or not. So my problem is how to determent the confident level of the door identification. So , means with which confident level I can confirm that is the door.
If I understand you well, you have 2 levels: detected/not detected, the equivalent of presence/absence or dummy variables, usually coded using 0 and 1. Many statistical tests can deal with dummy variables and be used to determine their effects.
Dear Bojan Andonovski,
Look the link, may be useful.
http://asq.org/learn-about-quality/data-collection-analysis-tools/overview/design-of-experiments-tutorial.html
Regards, Shafagat