An adaptive novelty detection approach to low level analysis of images corrupted by mixed noise

AN Dolia; M Lages; Ata Kaban

An adaptive novelty detection approach to low level analysis of images corrupted by mixed noise

AN Dolia
, M Lages
, Ata Kaban

Computer Science

Research output: Contribution to conference (unpublished) › Paper

Original language	English
Pages	570-577
Number of pages	8
Publication status	Published - 1 Jan 2003
Event	7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003), Sep 03-05, 2003. OXFORD, England - Duration: 1 Jan 2003 → …

Conference

Conference	7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003), Sep 03-05, 2003. OXFORD, England
Period	1/01/03 → …

Cite this

@conference{3385443e180c43bcafa6c1c53e142b7c,

title = "An adaptive novelty detection approach to low level analysis of images corrupted by mixed noise",

author = "AN Dolia and M Lages and Ata Kaban",

year = "2003",

month = jan,

day = "1",

language = "English",

pages = "570--577",

note = "7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003), Sep 03-05, 2003. OXFORD, England ; Conference date: 01-01-2003",

}

An adaptive novelty detection approach to low level analysis of images corrupted by mixed noise. / Dolia, AN; Lages, M; Kaban, Ata.
2003. 570-577 Paper presented at 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003), Sep 03-05, 2003. OXFORD, England.

Research output: Contribution to conference (unpublished) › Paper

TY - CONF

T1 - An adaptive novelty detection approach to low level analysis of images corrupted by mixed noise

AU - Dolia, AN

AU - Lages, M

AU - Kaban, Ata

PY - 2003/1/1

Y1 - 2003/1/1

M3 - Paper

SP - 570

EP - 577

T2 - 7th International Conference on Knowledge-Based Intelligent Information and Engineering Systems (KES 2003), Sep 03-05, 2003. OXFORD, England

Y2 - 1 January 2003

ER -