四川大学学报（自然科学版）2012，Vol.49Issue(3)：587-592,6.DOI:10.3969/j.issn.0490-6756.2012.03.020
一种基于随机森林与颜色特征的岩屑识别算法
A cutting recognition algorithm based on randon forest and color
陈超 1李文藻1
作者信息
- 1. 成都信息工程学院通信工程学院,成都610225
- 折叠
摘要
Abstract
In the cutting logging process, how to recognize the cuttings automatically and correctly is very important. In this paper, the features of cuttings are detected by using Color Histogram. Then the features are used to train the randon forest classifier. Finally , the cuttings are classified by using the randon forest. Using the algorithm, after logged several gas reservoir, a high recognition rate can be reached at 90%. The experimental results demonstrate the algorithm is feasible, robust and applicable.关键词
岩屑识别/图像处理/随机森林/颜色直方图Key words
cutting recognition,image processing,randon forest,color histogram分类
信息技术与安全科学引用本文复制引用
陈超,李文藻..一种基于随机森林与颜色特征的岩屑识别算法[J].四川大学学报（自然科学版）,2012,49(3):587-592,6.
