AN ONTOLOGY-BASED MODEL FOR REPRESENTING IMAGE PROCESSING APPLICATION OBJECTIVES

被引：13
|
作者：
Clouard, Regis [1 ]
Renouf, Arnaud
Revenu, Marinette
机构：
[1] ENSICAEN, GREYC, F-14050 Caen, France
来源：
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE | 2010年 / 24卷 / 08期
关键词：
Ontology design; knowledge acquisition; image processing; computer vision; SEGMENTATION; RETRIEVAL; SYSTEM; COLOR;
D O I：
10.1142/S0218001410008354
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper investigates the types of information that are necessary and sufficient to design and evaluate image processing software programs, and proposes a representation of these information elements using a computational language performable by vision systems and understandable by experts. The language is built upon a formulation model which distinguishes the specification of a goal and the definition of an input image class. Goals are stated in terms of tasks together with result samples. Image classes are defined by both linguistic and iconic descriptions. The model is implemented as an OWL domain ontology which provides the primitives for the formulation language.
引用
收藏
页码：1181 / 1208
页数：28
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