A robust algorithm for binarization of objects
Ciro R. Rodriguez · Latin American Applied Research - An international journal · 2010
Many times, binarization is recog- nized to be one of the most important steps in most high-level image analysis systems; particularly, for the object recognition. However, experience has shown that the most effective methods continue to be the iterative ones. In this work, entropy is used as a stopping criterion when segmenting an image by recursively applying mean shift filtering. Of this way, a new algorithm for the binarization of objects is introduced.