基于计算机生成图像的交通标志识别与增强

Lin Yaping, Zhang Jinfang, Xu Fan-jiang, Sun Xv
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引用次数: 9

摘要

图像识别是图像理解中极具挑战性的研究课题。然而,对于计算机生成的图像中特定目标的识别和增强的研究却很少。与自然图像相比,这可能是由于计算机生成图像的特点(总体上简单)和应用场景(3D漫游、游戏等)。对于计算机生成图像中特定目标(如交通标志)的识别和增强,难点在于如何准确地识别和增强特定目标,同时保持物体的其他信息不发生变化。本文采用逐步细化的方法试图解决这一问题。该方法基于图像预处理、图像识别和增强三个步骤。实验结果表明,该方法可以很好地处理此类问题。研究结果表明,图像识别和图像增强仍然不是一个简单的过程。因此,我们可以想象,对于复杂的真实场景图像的图像识别也不是一个简单的问题。而本文提出的逐步细化的研究思路为复杂图像识别提供了方法上的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Recognition and Enhancement of Traffic Sign for the Computer-Generated Image
Image recognition in image understanding is very challenge research topic. However, the study of recognition and enhancement of the specific target for the computer generated image is very less. Compared with the natural image, this cause may be the characteristics (simple in overall) and the scene of applications (the 3D roaming, the game and so on) for the computer-generated image. For recognition and enhancement of the specific target (such as traffic sign) in the computer-generated image, the difficulty is how to accurately recognize and enhance the specific target, and maintaining other information of object do not been changed. In this paper, adopting stepwise refinement method attempts to solve the problem. The proposed method is based on three steps including image preprocessing, image recognition and enhancement. The experimental results show the method can be very good to deal with such issues. The research result shows that the image recognition and image enhancement is still not simple process. Therefore, we imagine that image recognition for complex real scene image also isn't simple issues. But the research idea of stepwise refinement which is proposed in the paper provides a methodological reference for complex image recognition.
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