Knowledge inductive search based machine vision inspecting windows optimization

In machine vision inspection with area array camera, inspecting windows placement needs to be optimized. It aims to minimize the number of windows while covering whole inspected objects. A knowledge inductive search approach is proposed in this work to randomly search optimal window positions with partly prior knowledge direction and partly posteriori knowledge induction. Experimental results show that this approach uses the least number of windows.