中国石油大学学报（自然科学版）2012，Vol.36Issue(2)：86-90,96,6.DOI:10.3969/j.issn.1673-5005.2012.02.014
基于均方差比归一化垂向梯度法的位场边界检测
Edge detection of potential field based on normalized vertical gradient of mean square error ratio
摘要
Abstract
Aimed at the problems of edge positioning precision and recognition capability in potential-field data processing, a new edge detection technique based on the normalized vertical derivative of mean square error ratio (NVD-MSER) was presented. Mean square error ratio ( MSER) can be used for edge recognition, and it is based on the directionality of boundary a-nomaly and the data volatility evaluated by mean square error. MSER can be achieved by the following steps: normalizing the four-directional standard deviation of the whole region, then selecting maximum from four directional MSERs of each and every data. NVD-MSER can be used for edge enhancement and it is the ratio of the vertical gradient of MSER and the total gradient. Comparative analyses of model test show that, the NVD-MSER has strong computing stability, good recognized edge continuity, and small deviation with model edge, so it has strong detection capability. In the application, NVD-MSER can detect 19 faults in Hulin Basin of Heilongjiang, while Euler deconvolution can identify 1] faults. It is shown that the NVD-MSER method can enhance recognized stability in the planar location of faults.关键词
方位检测/边界检测/归一化/均方差比/梯度Key words
azimuth detection/ edge detection/ normalization/ mean square error ratio/ gradient分类
天文与地球科学引用本文复制引用
王彦国,王祝文,张凤旭,张瑾,邰振华,郭灿灿..基于均方差比归一化垂向梯度法的位场边界检测[J].中国石油大学学报（自然科学版）,2012,36(2):86-90,96,6.基金项目
国家自然科学重点基金项目(40739905) （40739905）
国家油气选区项目(14B09XQ1201) （14B09XQ1201）
