Fuzzy Sets and Systems - Special issue: fuzzy sets and management science
Distance-based functions for image comparison
Pattern Recognition Letters
Motion and Color-Based Video Indexing and Retrieval
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
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Different classes of image-distance functions are often used in computer vision. Robust pictorial indexes can be also constructed based on distance criteria for image retrieval purposes. This paper introduces two new classes of entropic distances that are based on the concept of convex transformations. Their formal properties are studied and tested on real images. Experiments on the comparison of images and the matching of objects are presented. A comparison of image distances, here, is proposed and carried out with measures of closeness.