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Calibration of Incoherent Optical Fiber Bundles for Image Transmission. Fibers Detection Process

机译:相连光纤束的图像传输校准。纤维检测过程

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Image transmission by incoherent optical fibers bundles require a previous calibration to obtain the fibers spatial in-out correspondence in order to reconstruct at the output side an image presented on the input of the system. This information is recorded in a Look-Up Table for later reordering of the fibers positions and reconstructs the original image. This paper shows how to minimize calibration time and improve the quality of the recovered image, by using a fibers detection process reducing the number of points to take into account in the calibration process. There is, also, an improvement in the quality of the recovered image compared with others techniques. In this paper two detection methods of circular patterns have been applied to a fiber bundle image captured by a CMOS sensor. The former utilizes the algorithm of Circular Hough Transform based on the gradient field of the image. A second one is introduced as a new hybrid algorithm that mixes some morphological transformations and Distance Transform. The results demonstrate that this technique offers a remarkable reduction of processing time and good detection.
机译:通过非连锁光纤束的图像传输需要先前的校准以获得纤维空间输入对应关系,以便在输出侧重建在系统的输入上呈现的图像。该信息被记录在查找表中,以便稍后重新排序纤维位置并重建原始图像。本文展示了如何通过使用纤维检测过程来最小化校准时间并提高恢复图像的质量,从而减少校准过程中要考虑的点数。此外,还有改善回收图像的质量与其他技术相比。本文在由CMOS传感器捕获的纤维束图像中,两种检测方法已经应用于CMOS传感器捕获的光纤束图像。前者利用基于图像的梯度场的圆形Hough变换算法。第二个被引入作为一种新的混合算法,它们混合了一些形态变换和距离变换。结果表明,该技术提供了处理时间和良好检测的显着降低。

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