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Autofocusing for microscopic images using Harris Corner Response Measure

机译:使用哈里斯角响应测量自动对焦显微图像

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One of the difficulties for proper imaging in microscopic image analysis is defocusing. Microscopic images such as cellular images, protein images, etc. need properly focused image for image analysis. A small difference in focal depth affects the details of an object significantly. In this paper, we introduce a novel auto-focusing approach based on Harris Corner Response Measure (HCRM) and compare the performance with some existing auto-focusing methods. We perform our experiments on protein images as well as a simulated image stack to evaluate the performance of our method. Our results show that our HCRMbased technique outperforms other techniques.
机译:在显微图像分析中正确成像的困难之一是散焦。显微图像(例如细胞图像,蛋白质图像等)需要正确聚焦的图像才能进行图像分析。焦深的微小差异会严重影响物体的细节。在本文中,我们介绍了一种基于哈里斯角响应测量(HCRM)的新颖的自动对焦方法,并将其性能与一些现有的自动对焦方法进行了比较。我们在蛋白质图像以及模拟图像堆栈上进行实验,以评估我们方法的性能。我们的结果表明,基于HCRM的技术优于其他技术。

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