Wang Yuezong, Jin Yan, Wang Lika, Geng Benliang
College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing, 100124, China.
Microsc Res Tech. 2016 May;79(5):408-21. doi: 10.1002/jemt.22644. Epub 2016 Mar 11.
Microscopic vision system with stereo light microscope (SLM) has been applied to surface profile measurement. If the vertical size of a small object exceeds the range of depth, its images will contain clear and fuzzy image regions. Hence, in order to obtain clear stereo images, we propose a microscopic sequence image fusion method which is suitable for SLM vision system. First, a solution to capture and align image sequence is designed, which outputs an aligning stereo images. Second, we decompose stereo image sequence by wavelet analysis theory, and obtain a series of high and low frequency coefficients with different resolutions. Then fused stereo images are output based on the high and low frequency coefficient fusion rules proposed in this article. The results show that Δw1 (Δw2 ) and ΔZ of stereo images in a sequence have linear relationship. Hence, a procedure for image alignment is necessary before image fusion. In contrast with other image fusion methods, our method can output clear fused stereo images with better performance, which is suitable for SLM vision system, and very helpful for avoiding image fuzzy caused by big vertical size of small objects.
带有立体显微镜（SLM）的微观视觉系统已应用于表面轮廓测量。如果小物体的垂直尺寸超过景深范围，其图像将包含清晰和模糊的图像区域。因此，为了获得清晰的立体图像，我们提出了一种适用于SLM视觉系统的微观序列图像融合方法。首先，设计了一种捕获和对齐图像序列的解决方案，该方案输出对齐的立体图像。其次，我们利用小波分析理论对立体图像序列进行分解，得到一系列不同分辨率的高频和低频系数。然后根据本文提出的高频和低频系数融合规则输出融合后的立体图像。结果表明，序列中立体图像的Δw1（Δw2）和ΔZ具有线性关系。因此，在图像融合之前需要进行图像对齐过程。与其他图像融合方法相比，我们的方法能够输出性能更好的清晰融合立体图像，适用于SLM视觉系统，并且对于避免小物体垂直尺寸过大导致的图像模糊非常有帮助。
