A Kind of Effective Method for Interference Image Binarization

With the rapid development of optical industry and computer technology, optical interference measurement has become an important means of non-contact measurement. The noise and uneven distribution of light intensity are the main problems in the interference image, which make the traditional threshold segmentation methods are difficult to accurately segment the image. Based on twice mean filter subtraction, the method of image binaryzation can effectively solve the influence of noise and uneven illumination, and improve the accuracy of the segmentation. But with the fixed size of the filter window can not achieve a larger difference in the size of the interference fringes accurate segmentation. In order to realize the automation of interference image processing and improve the adaptability of algorithms, this paper presents a method which is adaptive template filtering subtraction binarization. This method can effectively segment the interference fringes with different thickness.