摘要
探讨海底沉积物分类的迅速而有效的方法,通过海底浅层剖面仪灰度图像的纹理分析进行底质分类。采用共生矩阵法,灰度图像直方图统计矩法对浅剖灰度图像进行特征量提取,对所提取的特征量进行分析,提出了1种相关系数法对浅剖灰度图像进行分类。实验数据处理分析表明3种方法都比较有效。
Seabed classification based on texture analysis of grey level acoustic profiling images is presented in this paper.The feature values of the images are extracted and analysed by using the methods of co-occurrence matrix and grey level images histogram statistical moments.Then a method of correlation coefficients is utilized to classify the images.Analysis and processing of experimental data indicates that the three methods are quite effective.
出处
《中国海洋大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第S2期131-135,共5页
Periodical of Ocean University of China
基金
国家高技术研究发展计划项目(T24085326)资助
关键词
浅剖图像
共生矩阵
灰度图像直方图统计矩
底质分类
profiling image
co-occurrence matrix
grey level images histogram statistical moments
seabed classification
