TY - CONF
T1 - A set of novel textural features based on 3D co-occurrence matrix for content-based image retrieval
AU - Dacheng, Tao
AU - Xuelong, Li
AU - Yuan, Yuan
AU - Nenghai, Yu
AU - Zhengkai, Liu
AU - Xiao-Ou, Tang
PY - 2002
Y1 - 2002
N2 - This paper presents a set of novel texture features for content-based image retrieval (CBIR). CBIR require new algorithms for the automated extraction and indexing of salient image features, while texture features provide one important cue for the visual perception and discrimination of image content, so they are always one of the most popular representations in CBIR. The proposed features are based on the 3D co-occurrence matrix, and preliminary results show they are much better than traditional texture features. In this paper, experiments are made on an image database with 25000 images.
AB - This paper presents a set of novel texture features for content-based image retrieval (CBIR). CBIR require new algorithms for the automated extraction and indexing of salient image features, while texture features provide one important cue for the visual perception and discrimination of image content, so they are always one of the most popular representations in CBIR. The proposed features are based on the 3D co-occurrence matrix, and preliminary results show they are much better than traditional texture features. In this paper, experiments are made on an image database with 25000 images.
KW - 3D Co-occurrence matrix
KW - Content-Based Image Retrieval
KW - Image Database
KW - Texture features
UR - http://www.scopus.com/inward/record.url?scp=84891083398&partnerID=8YFLogxK
U2 - 10.1109/ICIF.2002.1020979
DO - 10.1109/ICIF.2002.1020979
M3 - 论文
AN - SCOPUS:84891083398
SP - 1403
EP - 1407
T2 - 5th International Conference on Information Fusion, FUSION 2002
Y2 - 8 July 2002 through 11 July 2002
ER -