自然场景建筑工程标志信息逐级细化识别算法

Identification Algorithm of Building Sign Information in Natural Scene

为了提高自然场景标志信息识别精度,提出基于图像增强的自然场景建筑工程标志信息逐级细化识别算法。采用基于极大灰度频数抑制结合动态直方图均衡算法,增强处理自然场景建筑工程标志图像,优化标志图像质量;以粗分类形式识别自然场景建筑工程标志图像类型后,由细分类形式识别自然场景建筑工程标志具体信息,实现逐级细化识别工程标志。经实验结果验证:所提方法增强后图像均方根误差与清晰度可满足图像增强应用需求,均方根误差低于0.03,清晰度大于95%;识别自然场景建筑工程标志信息精度较高。

In order to improve the recognition accuracy of natural scene sign information,an image enhancement based gradual refinement recognition algorithm of natural scene building engineering sign information is proposed in the paper.Based on the maximum gray frequency suppression and dynamic histogram equalization algorithm,the natural scene construction sign image was enhanced to optimize the quality of the sign image;After recognizing the image types of building engineering signs in natural scenes in the form of rough classification,the specific information of building engineering signs in natural scenes was recognized in the form of fine classification,and the engineering signs were identified step by step.The experimental results show that the root mean square error and definition of the enhanced image can meet the application requirements of image enhancement,the root mean square error is less than 0.03,and the definition is more than 95%;The recognition accuracy of building engineering signs in natural scenes is high.