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An effective method to obtain contour of fisheye images based on explicit level set method

机译:基于显式水平集方法的鱼眼图像轮廓求取方法

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Obtaining the effective contour from an image taken by fisheye lens is important for the following transactions. Many studies try to develop suitable methods to get accurate contours of fisheye images. Using the traditional level set method (CV model) is hard to meet the desire task that the final segmentation region is a circle. Therefore, the preprocessing of fisheye images and the improvement of traditional level set method are redesigned to get a final circular segmentation which may be suitable to other applications. In this paper, we use the local entropy method to make the value of pixels be even inside the effective circular region, further threshold method to remove the hole(s), and at last the explicit circular level set method to get final segmentation. The final experimental results show that the segmentation is effective.
机译:从鱼眼镜头拍摄的图像中获取有效轮廓对于以下交易很重要。许多研究试图开发合适的方法来获得鱼眼图像的精确轮廓。使用传统的水平集方法(CV模型)很难满足最终分割区域是一个圆的期望任务。因此,对鱼眼图像的预处理和传统水平集方法的改进进行了重新设计,以获得可能适合其他应用的最终圆形分割。在本文中,我们使用局部熵方法使像素值在有效圆形区域内均匀,进一步使用阈值方法去除孔洞,最后使用显式圆形水平集方法进行最终分割。最终的实验结果表明该分割是有效的。

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