Retrieval of still images by content
Lectures on information retrieval
Statistical Shape Features for Content-Based Image Retrieval
Journal of Mathematical Imaging and Vision
Indexing Flower Patent Images Using Domain Knowledge
IEEE Intelligent Systems
Retrieval of Still Images by Content
ESSIR '00 Proceedings of the Third European Summer-School on Lectures on Information Retrieval-Revised Lectures
Image Retrieval Methods for a Database of Funeral Monuments
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Retrieval of textured images through the use of quantization and modal analysis
Pattern Recognition
Texture image retrieval: a feature-based correspondence method in fourier spectrum
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
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The retrieval of images based on their visual similarityto an example image is an important and fascinatingarea of research. Here, a method to characterize visualappearance for determining global similarity in images isdescribed.Images are filtered with Gaussian derivatives and geometricfeatures are computed from the filtered images. Thegeometric features used here are curvature and phase. Twoimages may be said to be similar if they have similar distributionsof such features. Global similarity may, therefore,be deduced by comparing histograms of these features.This allows for rapid retrieval and examples fromcollection of gray-level and trademark images are shown.