Fuzzy Extended Feature Line Classifier for Image Classification

被引：1

作者：

Pan, Jeng-Shyang ^{[1
]}

Chu, Shu-Chuan ^{[2
]}

Yan, Lijun ^{[3
]}

Tang, Linlin ^{[4
]}

机构：

[1] Fujian Univ Technol, Coll Informat Sci & Engn, Fuzhou, Peoples R China

[2] Flinders Univ S Australia, Sch Comp Sci Engn & Math, Adelaide, SA, Australia

[3] Shenzhen Inst Informat Technol, Sch Comp Sci, Shenzhen, Peoples R China

[4] Harbin Inst Technol, Shenzhen Grad Sch, Sch Comp Sci & Technol, Shenzhen, Peoples R China

来源：

2015 INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING (IIH-MSP) | 2015年

关键词：

Nearest feature line; Fuzzy KNN; Image classification; NEAREST FEATURE LINE; PATTERN-CLASSIFICATION; RECOGNITION; RETRIEVAL; SEGMENT;

D O I：

10.1109/IIH-MSP.2015.95

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A new approach called Fuzzy Extended Feature Line (FEFL) is proposed for image classification in this paper, which retain the advantages and ideas of Nearest Feature Line (NFL). The proposed FEFL use NFL to extend the prototype image sample set. Fuzzy K-Nearest Neighbor is applied for adding the new suitable samples to the prototype sample set. Experimental results on ORL face database and finger-knuckle-print database demonstrate the effectiveness of the proposed algorithm.

引用

页码：290 / 293

页数：4

共 50 条

[1] Extended nearest feature line classifier
Zhou, YL
Zhang, CS
Wang, JC
[J]. PRICAI 2004: TRENDS IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS, 2004, 3157 : 183 - 190
[2] Flexible Design of Image Classification Rules using Extended Fuzzy Oriented Classifier Evolution
Otsuka, Junji
Nagao, Tomoharu
[J]. 6TH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND INTELLIGENT SYSTEMS, AND THE 13TH INTERNATIONAL SYMPOSIUM ON ADVANCED INTELLIGENT SYSTEMS, 2012, : 1595 - 1600
[3] An Evolutionary Fuzzy Classifier for Satellite Image Classification
Stavrakoudis, D. G.
Theocharis, J. B.
[J]. MED: 2009 17TH MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-3, 2009, : 383 - 388
[4] Ship Classification in SAR Image by Joint Feature and Classifier Selection
Lang, Haitao
Zhang, Jie
Zhang, Xi
Meng, Junmin
[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2016, 13 (02) : 212 - 216
[5] AN EXTENDED PROBABILISTIC COLLABORATIVE REPRESENTATION BASED CLASSIFIER FOR IMAGE CLASSIFICATION
Lan, Rushi
Zhou, Yicong
[J]. 2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2017, : 1392 - 1397
[6] Neighborhood Feature Line Segment for Image Classification
Pan, Jeng-Shyang
Feng, Qingxiang
Yan, Lijun
Yang, Jar-Ferr
[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 25 (03) : 387 - 398
[7] A Novel Fuzzy Feature Encoding Approach for Image Classification
Altintakan, Umit L.
Yazici, Adnan
[J]. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 1134 - 1139
[8] Nonparametric Fuzzy Feature Extraction for Hyperspectral Image Classification
Yang, Jinn-Min
Yu, Pao-Ta
Kuo, Bor-Chen
Su, Ming-Hsiang
[J]. INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2010, 12 (03) : 208 - 217
[9] A Neuro-Fuzzy Multilayered Classifier for land cover image classification
Mitrakis, N. E.
Topaloglou, C. A.
Alexandridis, T. K.
Theocharis, J. B.
Zalidis, G. C.
[J]. 2007 MEDITERRANEAN CONFERENCE ON CONTROL & AUTOMATION, VOLS 1-4, 2007, : 441 - +
[10] Texture feature extraction and classification of image with line singularity
School of Computer, Northwestern Polytechnical University, Xi'an 710072, China
[J]. J. Inf. Comput. Sci., 2008, 1 (87-93):

← 1 2 3 4 5 →