PARSING SCALE-SPACE AND SPATIAL STABILITY ANALYSIS

被引：32

作者：

BISCHOF, WF ^{[1
]}

CAELLI, T ^{[1
]}

机构：

[1] UNIV ALBERTA, ALBERTA CTR MACHINE INTELLIGENCE & ROBOT, EDMONTON T6G 2E9, ALBERTA, CANADA

来源：

COMPUTER VISION GRAPHICS AND IMAGE PROCESSING | 1988年 / 42卷 / 02期

关键词：

SIGNAL FILTERING AND PREDICTION;

D O I：

10.1016/0734-189X(88)90163-6

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The scale-space S(x, sigma ) of a signal I(x) is defined as the space of the zero-crossings from left brace DEL **2G( sigma ) multiplied by (times) I(x) right brace , where G is a Gaussian filter. We present a new method for parsing scale-space, spatial stability analysis, that allows the localization of region boundaries from scale space. Spatial stability analysis is based on the observation that zero-crossings of region boundaries remain spatially stable over changes in filter scale. It is shown that spatial stability analysis leads to an edge detection scheme with good noise resilience characteristics and that it can lead to improvements in 'shape from texture' methods.

引用

页码：192 / 205

页数：14

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