Depth from Focus with Adaptive Focus Measure Size

Abstract

As a method for measuring the depth of micro-size objects, “Depth from Focus” (DFF) is known as an effective method. DFF methods evaluate focus from the texture sharpness of object surfaces. However, the sizes of texture pattern change the considering various sizes of texture patterns, filter window sizes have to be appropriately selected. Additionally, reducing bad effects caused by large edges is needed. In this paper , we propose a DFF method that adaptively selects window sizes depending on texture patterns.