A new image segmentation method based on optical degradation model

For machine vision inspection systems, captured images are often degraded to various extents because of the lens spherical aberration. In order to solve this problem, this paper introduces a new method which first found an optical degradation model (ODM) by the point illumination in the image plane, and simplified the optical degradation model based on the properties of illumination distribution. The method compensated the background from the original image and employed global threshold to make better segmentation. The performance of the new method is validated by a comparison with the Otsu´s segmentation method, as well as the adaptive threshold method.