基于图像识别的郑州市老城区道路绿视率研究

On Green Vision Rate of Road in Old Town of Zhengzhou City Based on Image Recognition

绿视率是人眼视角下精准反映空间绿化效果的可视性指标,为城市绿化建设的发展提供了全新的思路.以郑州市老城区98条道路百度街景全景图为对象,通过python爬取街景图像,利用python图像处理库OpenCV计算得出街道绿视率,并对其分析与可视化.结果显示:不同等级道路绿视率呈现明显差异,道路绿化分布不均,道路平均绿视率为19.25%,该结果与郑州老城区道路绿化覆盖率数据有相似性,但影响两者的因素并不相同,因此结果也有不同,并对不一致的结果进行了分析.

Green vision is a visual index that accurately reflects the effect of space greening from the perspective of human eyes,and provides a new idea for the development of urban greening construction.Taking the Baidu streetscape panorama of 98 roads in the old city of Zhengzhou as an object,the streetscape image was crawled by python,and the green image rate of the street was calculated by means of the python image processing library OpenCV,and analyzed and visualized.The results show that the road greenness rates of different grades showed significant differences,the road greening was unevenly distributed,and the average road greenness rate was 19.25%.This result is similar to the road greening coverage data of the old city of Zhengzhou,but the factors affecting the two are similar.Not the same,so the results are different,and the article analyzes the inconsistent results.