Content-Based Image Retrieval Using Adaptive Thinning and Illumination Invariant Color Features

When implementing a Content-Based Image Retrieval (CBIR) system, various types of image features are used for relevance evaluation. The extracted features need to be selected according to the nature of the images and the requirements of the application, enabling a desirable evaluation of image relevance. This paper reports on image features and their treatment in CBIRs for binary sketch images and color photographs taken under varying illumination conditions.

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