摘要
为解决采集的岩屑图像中对岩屑颜色、岩性、粒度的描述难题,提出了通过改进K近邻分类法对岩屑岩性进行分类识别的方法。通过对岩屑图像进行颗粒分割,获取其形状、颜色、纹理特征,将这些特征引入到改进的K近邻分类法中,可实现对岩屑图像的岩性分析。现场应用取得了较好效果,加强了岩屑图像描述的数字化程度,提高了地质资料的准确性。
In order to solve the problem of describing cutting color,lithology and grain size in the collected cutting images,a method of classifying and identifying the cutting lithology was proposed by improving K nearest neighbor classification method.The lithology analysis of the cutting images can be realized through the particle segmentation of the cutting images,obtaining their shape,color and texture features,and introducing these features into the improved K nearest neighbor classification.Field application has achieved good results,strengthened the digitization of cutting image description,and improved the accuracy of geological data.
出处
《录井工程》
2017年第1期8-11,共4页
Mud Logging Engineering
关键词
岩屑图像
粒度
岩性识别
K近邻分类法
颗粒分割
cutting image
grain size
lithology identification
K nearest neighbor classifier
