Reconstruction the complete image from random scattered pieces of image

C. Kement, Fatih Kazdal, Sahin Yanlik, Muhammet Unal, M. Onat
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引用次数: 0

Abstract

Combining all image pieces which are randomly scattered to reconstruct the initial (original) image takes so much time. For instance, combining the all image pieces used in tiling is a tedious and time consuming task. For this purpose, the hardness of the task is able to be decreased and the task duration is able to be shortened using the developed image processing optimization algorithms. In this study, the reconstruction of initial image is implemented using image processing methods from randomly scattered image pieces. In the first stage, the edge improvement is completed to reach the initial image position from randomly scattered image pieces. Then, the rotating angles of image pieces are determined with the support of corner finding algorithm. The initial image positions of pieces are determined and positioned to their original places by individually comparing the prescribed image pieces with the initial image pieces.
从随机分散的图像中重建完整的图像
将所有随机分散的图像碎片组合起来重建初始(原始)图像需要花费大量的时间。例如,在平铺中使用的所有图像块的组合是一项繁琐而耗时的任务。为此,利用所开发的图像处理优化算法,可以降低任务的难度,缩短任务持续时间。在本研究中,使用随机分散图像块的图像处理方法实现初始图像的重建。在第一阶段,完成边缘改进,从随机分散的图像块中得到初始图像位置。然后,在角点查找算法的支持下确定图像块的旋转角度;通过将规定的图像块与初始图像块进行单独比较,确定图像块的初始图像位置并将其定位到其原始位置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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