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A method for improving the definition of scene in fog image

机译:一种改进雾图像场景定义的方法

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摘要

As the atmospheric degradation of the fog image is low contrast and the blurred scene, which has serious impact on the transport system and the application of outdoor vision systems. In order to deal with the details information of fog image, a method for improving image definition based on image segmentation and image enhancement technologies is presented. First of all, in accordance with the characteristics of the grayscale distribution of images, the method finds the non-sky region using regional growth method, and then only in this region POSHE algorithm is used to improve the definition of scene in fog image. The experimental results show that the method can effectively improve the image of degradation in fog and improve image definition.
机译:随着雾图像的大气降解是低对比度和模糊的场景,这对运输系统产生了严重影响以及室外视觉系统的应用。为了处理迷雾图像的细节信息,介绍了一种基于图像分割和图像增强技术改进图像定义的方法。首先,根据图像的灰度分布的特征,该方法使用区域生长方法找到非天空区域,然后仅在该区域中,Poshe算法用于改善雾图像中场景的定义。实验结果表明,该方法可以有效地改善雾中劣化的图像,提高图像定义。

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