Structure-Texture Image Decomposition for Content-Based Image Retrieval
Subject Areas : electrical and computer engineering
S.
Hayati
1
S.
Saryazdi
2
H.
Nezamabadi-pour
3
Abstract :
In this paper, a novel low-level image feature extraction and indexing scheme based on structure-texture image decomposition is presented. The main idea of this work is to decompose database images to structure and texture sub-images to decrease the destructive effects of simultaneous existence of structure and texture information in the image in indexing phase. It is also shown that precision in a typical content-based image retrieval system can considerably increase by combining the feature vectors extracted from structure and texture sub-images. An image database containing 10000 images of 82 different semantic groups is used to evaluate the proposed method. The results confirm the effectiveness of this method.
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