Detection of abnormal texture in chest X-rays with reduction of ribs
VIP '05 Proceedings of the Pan-Sydney area workshop on Visual information processing
Features for image retrieval: an experimental comparison
Information Retrieval
Computer aided diagnosis system of medical images using incremental learning method
Expert Systems with Applications: An International Journal
Easing the Dimensionality Curse by Stretching Metric Spaces
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
LikeMiner: a system for mining the power of 'like' in social media networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
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Abstract: This paper introduces a new approach to content based image retrieval by texture. There are three porblems to solve: high computational time, handling high dimension data, and comparing images consistent with human perception. To decrease the computational time, we present a new strategy to extract an image feature with high retrieval accuracy. We also propose how to reduce the image feature dimension using the reward-punishment algorithm, so any robust indexing methods can be used. By weighting the extracted image features, a system may perceive the image consistently with human perception.