By modifying an n layer object separation model which is applied on the binary image, we present an adaptive algorithm to build more efficient model. This adaptive work compares how many objects can be separated in the vertical and horizontal sides. In every layer, the vertical or horizontal process is first selected if it has a large number of objects for separation. Therefore, the process becomes dynamic and can reduce the number n.

adaptive, n layer, object separation, algorithm, binary image.