Multilevel Otsu’s thresholding method with an equivalent 3D Otsu’s method

Otsu’s method is considered as one of the most popular thresholding method due to its simplicity. In order to increase its capabilities, one approach is to additionally use multidimensional information so that noise in images can be handled; while the other approach is to allow multilevel thresholding instead of bilevel thresholding to extract objects in the case of complex images. These two approaches distinctly offer different advantages, where real world images mostly contain both kinds of image difficulties. In this paper, we propose the use of both multidimensional information and multilevel thresholding together, so that we can efficiently cope with real world images. From the experiments, even though our method requires a bit longer execution time, the method is more resist to noise and also give better or comparable results than the others.