Distance-based functions for image comparison
نویسندگان
چکیده
The interest in digital image comparison is steadily growing in the computer vision community. The de®nition of a suitable comparison measure for non-binary images is relevant in many image processing applications. Visual tasks like segmentation and classi®cation require the evaluation of equivalence classes. Measures of similarity are also used to evaluate lossy compression algorithms and to de®ne pictorial indices in image content based retrieval methods. In this paper we develop a distance-based approach to image similarity evaluation and we present several image distances which are based on low level features. The sensitivity and eectiveness are tested on real data. Ó 1999 Published by Elsevier Science B.V. All rights reserved.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 20 شماره
صفحات -
تاریخ انتشار 1999