Binary object separation process is a tool that sometimes is needed to solve a problem using image processing. It can be used in counting objects, recognizing it, and in many other applications. Object separation algorithm in two layer presented in previous work was developed by vertical and horizontal separation. To make the algorithm applicable in many layers, this paper proposes a complete model as an n-layer separation. Every layer is done by vertical separation first followed by horizontal one. According to the algorithm structure, the model can probably be expanded into adaptive to save the computing time.

n-layer, algorithm, object separator, binary image.