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Design of a Novel Micro-detection System Based on Image Dynamic Range Enhancement

机译:基于图像动态范围增强的新型微检测系统设计

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摘要

In the microscopic image detection, the image quality is the key factors for accuracy of measurement. Owing to the different material and uneven surface of work pieces, different regions of the work piece have a different response to light intensity in imaging. In order to obtain complete information of detection of objects, it is necessary to expand the dynamic range of microscopic images. A new design of micro-detection system based on high dynamic range imaging technology is proposed. The hardware of our system mainly includes computer system, light intensity control system and micro-imaging system equipped with a digital CCD image sensor. The effective synthesis algorithm for high dynamic range image based the quantity of information of image is also proposed. In our algorithm, the images are divided into to many layers levels by the laplacian pyramid algorithm and the weight of each layer is determined according to the grads and entropy of image, then the laplacian pyramid inverse algorithm is applied to obtain a high dynamic range image. The detail features in both areas with high and low illumination of the view can be increased. The experiments have shown that the entropy and definition of composite image is better than each images of different exposure. Therefore, the method we propose can effectively improve the resolution of the microscopic images and the accuracy of detection.
机译:在显微图像检测中,图像质量是测量精度的关键因素。由于工件的不同材料和不平坦的表面,工件的不同区域对成像中的光强度有不同的响应。为了获得物体检测的完整信息,有必要扩大显微图像的动态范围。提出了一种基于高动态范围成像技术的微探测系统的新设计。我们系统的硬件主要包括装有数字CCD图像传感器的计算机系统,光强控制系统和微成像系统。提出了一种基于图像信息量的高动态范围图像有效合成算法。在我们的算法中,通过拉普拉斯金字塔算法将图像划分为多个层次,并根据图像的灰度和熵确定每一层的权重,然后应用拉普拉斯金字塔逆算法获得高动态范围图像。可以在视图的高光和低光两个区域中增加细节特征。实验表明,合成图像的熵和清晰度优于不同曝光量的图像。因此,我们提出的方法可以有效地提高显微图像的分辨率和检测精度。

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