Greenery and non-greenery image classification using adaptive neuro-fuzzy inference system

被引：1
|
作者：
Balarnurugan, P. [1 ]
Rajesh, R. [1 ]
机构：
[1] Bharathiar Univ, Dept Comp Sci & Engn, Coimbatore 46, Tamil Nadu, India
来源：
ICCIMA 2007: INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND MULTIMEDIA APPLICATIONS, VOL III, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/ICCIMA.2007.302
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 presents greenery and non-greenery image classification using adaptive neuro fuzzy inference systenm. A hybrid set of parameters involving texture and a measure of color coherence using guided (template) image, are used for the purpose of classification. These hybrid set of parameters provide good classification accuracy for greenery and non-greenery images. The performance of the systenm is illustrated with a set of 200 images containing both greenery and non-greenery images.
引用
收藏
页码：431 / 435
页数：5
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