Information Granules in Application to Image Recognition

被引：5

作者：

Wiaderek, Krzysztof ^{[1
]}

Rutkowska, Danuta ^{[1
,2
]}

Rakus-Andersson, Elisabeth ^{[3
]}

机构：

[1] Czestochowa Tech Univ, Inst Comp & Informat Sci, PL-42201 Czestochowa, Poland

[2] Univ Social Sci, Inst Informat Technol, PL-90113 Lodz, Poland

[3] Blekinge Inst Technol, Dept Math & Nat Sci, S-37179 Karlskrona, Sweden

来源：

ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, PT I | 2015年 / 9119卷

关键词：

FUZZY-LOGIC; CLASSIFICATION; SETS; SEGMENTATION; GRANULATION;

D O I：

10.1007/978-3-319-19324-3_58

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper concerns specific problems of color digital image recognition by use of the concept of fuzzy and rough granulation. This idea employs information granules that contain pieces of knowledge about digital pictures such as color, location, size, and shape of an object to be recognized. The object information granule (OIG) is introduced, and the Granular Pattern Recognition System (GPRS) proposed, in order to solve different tasks formulated with regard to the information granules.

引用

页码：649 / 659

页数：11

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