Basic concepts of knowledge-based image understanding

被引：0

作者：

Tadeusiewicz, R. ^{[1
]}

Szczepaniak, P. S. ^{[2
]}

机构：

[1] AGH Univ Sci & Technol, Mickiewicza 30, PL-30059 Krakow, Poland

[2] Tech Univ Lodz, Inst Comp Sci, Lodz, Poland

来源：

AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PROCEEDINGS | 2008年 / 4953卷

关键词：

image understanding; machine learning; active contours;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In the paper, the main paradigm of image understanding as well as possible way for practical machine realization in relatively simple situations is presented. The notion 'simple situations' reflects more our humility with respect to the complication of human perception process than the form of objects to be recognized and interpreted. Crucial for our approach are formalization of human knowledge about class of images to be automatically interpreted and realization of cognitive resonance while the particular method put at work is the active contour approach.

引用

页码：42 / +

页数：3

共 15 条

[1] Geodesic active contours [J].