Advisors: Axel Carlier and Vincent Charvillat (ENSEEIHT-Université de Toulouse) / Amaia Salvador and Xavier Giró-i-Nieto (UPC) 

Degree: Audiovisual Engineering (4 years) at Telecom BCN-ETSETB (UPC)

Grade: A with honors (9.6/10)

For so many years the problem of object segmentation has been present in image processing field. Click'n'Cut, an already existing web tool for interactive object segmentation, helps us to obtain segmentations of the objects by clicking in green (foreground clicks) inside the object to segment, and in red(background clicks) outside the object to segment. However, the behaviour of all human in front of this web tool is not equal. For this reason, it can be possible that these human interactions do not help us to obtain a good object segmentation as would be the result of a bad human interaction. The main aim of this project is to implement some techniques that allow us to treat with these bad human interactions in order to obtain the best object segmentation possible.