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Survey on Simplified Olfactory Bionic Model to Generate Texture Images

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成果类型:
期刊论文、会议论文
作者:
Zhang Jin*;Deng Yang;Li Yong-jun;Wang Ying;Wang Ru-long
通讯作者:
Zhang Jin
作者机构:
[Deng Yang; Li Yong-jun; Zhang Jin; Wang Ru-long] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China.
[Wang Ying] Hunan Univ Chinese Med, Sch Human Informat Technol & Management, Changsha 410082, Peoples R China.
通讯机构:
[Zhang Jin] H
Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China.
语种:
英文
关键词:
Bionic model;Olfactory neural system;Texture image;Image expressing space;Gray-level co-occurrence matrix (GLCM)
期刊:
Lecture Notes in Computer Science
ISSN:
0302-9743
年:
2012
卷:
7664
期:
PART 2
页码:
316-323
会议名称:
19th International Conference on Neural Information Processing (ICONIP)
会议论文集名称:
Lecture Notes in Computer Science
会议时间:
NOV 11-15, 2012
会议地点:
Doha, QATAR
会议主办单位:
[Zhang Jin;Deng Yang;Li Yong-jun;Wang Ru-long] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Hunan, Peoples R China.^[Wang Ying] Hunan Univ Chinese Med, Sch Human Informat Technol & Management, Changsha 410082, Peoples R China.
会议赞助商:
IEEE Computat Intelligence Soc, United Dev Co PSC, Qatar Petrochem Co, ExxonMobil, Texas A&M Univ Qatar & Asia Pacif Neural Network Assembly, European Neural Network Soc, Japanese Neural Network Soc, Qatar Petr, Int Neural Network Soc
主编:
Huang, T Zeng, Z Li, C Leung, CS
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-34481-7
基金类别:
National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [60901080, 61070194]; China Postdoctoral Science FoundationChina Postdoctoral Science Foundation [20100480219]
机构署名:
本校为其他机构
摘要:
In order to improve performance of artificial neural networks (ANNs) generating texture images, simplified olfactory bionic model (SOBM) to generate texture images is proposed by Zhang in 2008. In this paper, a series of related researches are surveyed. SOBM is introduced from three aspects and texture images with different style are surveyed. Otherwise, SOBM are analyzed synthetically from qualitative and quantitive aspects according to different f...

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