Jump detection in regression surfaces

被引：41

作者：

Qiu, PH ^{[1
]}

Yandell, B ^{[1
]}

机构：

[1] UNIV WISCONSIN, DEPT STAT, MADISON, WI 53706 USA

来源：

JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS | 1997年 / 6卷 / 03期

关键词：

image processing; jump detection criterion; jump location curves; jump surfaces; least squares plane; modification procedure; slopes; threshold value;

D O I：

10.2307/1390737

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

We consider the problem of locating jumps in regression surfaces. A jump detection algorithm is suggested based on local least squares estimation, This method requires O(Nk) computations, where N is the sample size and k is the window width of the neighborhood. This property makes it possible to handle large data sets, The conditions imposed on the jump location curves, the jump surfaces. and the noise are mild. We demonstrate this method in detail with some numerical examples.

引用

页码：332 / 354

页数：23

共 45 条

[1]

BESAG J, 1986, J R STAT SOC B, V48, P259

[2] AN EDGE-DETECTION TECHNIQUE USING GENETIC ALGORITHM-BASED OPTIMIZATION [J].