[1]CHEN Yang,DONG Xiaoli,LI Weijun,et al.Improvement of an image retrieval algorithm based on biomimetic imaginal thinking[J].CAAI Transactions on Intelligent Systems,2015,10(2):209-214.[doi:10.3969/j.issn.1673-4785.201411022]
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Improvement of an image retrieval algorithm based on biomimetic imaginal thinking

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 10 Number of periods: 2015 2 Page number: 209-214 Column: 学术论文—机器学习 Public date: 2015-04-25
Title:
Improvement of an image retrieval algorithm based on biomimetic imaginal thinking
Author(s):
CHEN Yang1;  DONG Xiaoli2;  LI Weijun2;  ZHANG Liping2;  QIN Hong2
1. China Center of Information Industry Development, Beijing 100846, China;
2. Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Keywords:
biomimetic imaginal thinking; image retrieval; color complexity measure; feature extraction
CLC:
TP391.4
DOI:
10.3969/j.issn.1673-4785.201411022
Abstract:
In this paper, a novel image retrieval algorithm based on biomimetic imaginal thinking is used for image cognition by imitating human brain’s imaginal thinking and extracting image features from a different perspective. This algorithm maps every image onto a point in the high dimension space, deriving the relations of two images by calculating the discriminant function between the two points. The visual features that can describe image content directly, i.e. color complexity are used to extract image features, in order to improve the image retrieval algorithm based on biomimetic imaginal thinking. The experimental results showed that the performance of this algorithm is better than that of the algorithm proposed by reference [1].
References:
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