Retrieval of gamma corrected images
نویسنده
چکیده
This paper presents a histogram based image retrieval system for environments where the images may be subject to gamma correction. The images are transformed into representations that are invariant under gamma correction. The differential invariant employed is a local feature implemented with derivatives of the Gaussian. The image retrieval is based on feature histograms computed from the invariant representations. The invariant provides a generic method to trade off derivatives for an unknown power law parameter.
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ورودعنوان ژورنال:
- Pattern Recognition Letters
دوره 22 شماره
صفحات -
تاریخ انتشار 2001