Scale-imprecision space

被引:28
作者
Griffin, LD
机构
关键词
measurement theory; edge detection; visual invariances; median filtering;
D O I
10.1016/S0262-8856(97)87979-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is argued that image measurements should satisfy two requirements of physical plausibility: the measurements are of non-zero scale and non-zero imprecision; and two required invariances, nothing is lost by expanding the image and nothing is lost by increasing the contrast of the image. A model of measurements satisfying these constraints, based on blurring the graph of the incident luminance, is described. Within this framework, several types of filtering can be expressed: mean filtering (ordinary scale space); median filtering: and mode filtering. It is found that of these possibilities, a system based on mode filtering produces interesting results. In particular, edges-defined as discontinuities-naturally appear, and their behaviour over scale and imprecision is presented.
引用
收藏
页码:369 / 398
页数:30
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