Fusion for Medical Microscopic Images Based on Estimation and Compensation
Image mosaicing can solve the problem that only very limited field of view is available when highly magnifying lens is used in microscopes imaging. The paper puts forward an equation of the systems influence to the grayscale distribution of the medical microscopic images, based on the analysis of the influence. Then, by the system equation and the accurate registration equation, the least-squares optimization error function can be formulated. By these equations, a set of transcendental equations is formed. We can estimate the systems influence to the gray-level of the images by singular-value decomposition, based on the equations set, and compensating for it. This permits image mosaicing seamlessly, without lowering the speed.
Guoxiang Lv Aijun He Xi Yang Xinbao Ning
Department of Electronics Science & Engineering, Nanjing University, Nanjing, China
国际会议
北京
英文
740-743
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）