Hierarchical Indexing Images Using Weighted Low Dimensional Texture Features
نویسندگان
چکیده
This paper introduces a new method to analyse the image texture and to index the image database. We present a new strategy to reduce the computational time to extract image features with high retrieval accuracy. We also propose a method to reduce the image feature dimension, so any robust indexing methods can be used. By weighting the extracted image features, a system may perceive the image consistent with human perception. We use two spaces to keep the key images and the candidates images for an efficient indexing of the image database.
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