FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure.
FocusALL: Focal Stacking of Microscopic Images Using Modified Harris Corner Response Measure.
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DOI：
10.1109/tcbb.2015.2459685
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发表时间：
2016-03
期刊：
影响因子：
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通讯作者：
Aygün RS
中科院分区：
文献类型：
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作者：
Sigdel MS;Sigdel M;Dinç S;Dinç I;Pusey ML;Aygün RS
显微图像如蛋白质结晶图像和细胞图像的自动图像分析是一个重要的研究领域。如果场景中的物体相对于相机的焦点出现在不同的深度，那么景深以外的物体通常会显得模糊。因此，科学家们拍摄了一系列不同景深的图像。焦点叠加是一种从不同景深采集的图像堆叠中创建单个聚焦图像的技术。本文介绍了一种基于改进的哈里斯角响应测度的焦点叠加技术FocusALL。我们还提出了增强的FocusALL应用于高分辨率和不同照明下采集的图像。FocusALL解决了焦点区域具有高对比度和高强度的假设相关的问题。特别是FocusALL能够在合理的时间内为高分辨率图像生成清晰的蛋白晶体区域边界和良好的对焦图像。FocusALL在蛋白质结晶图像上优于其他方法，并且在其他数据集（如视网膜上皮图像和模拟数据集）上表现相当好。
Automated image analysis of microscopic images such as protein crystallization images and cellular images is one of the important research areas. If objects in a scene appear at different depths with respect to the camera's focal point, objects outside the depth of field usually appear blurred. Therefore, scientists capture a collection of images with different depths of field. Focal stacking is a technique of creating a single focused image from a stack of images collected with different depths of field. In this paper, we introduce a novel focal stacking technique, FocusALL, which is based on our modified Harris Corner Response Measure. We also propose enhanced FocusALL for application on images collected under high resolution and varying illumination. FocusALL resolves problems related to the assumption that in focus regions have high contrast and high intensity. Especially, FocusALL generates sharper boundaries around protein crystal regions and good in focus images for high resolution images in reasonable time. FocusALL outperforms other methods on protein crystallization images and performs comparably well on other datasets such as retinal epithelial images and simulated datasets.