Shape Similarity Estimation using Ordinal Measures
نویسندگان
چکیده
In this paper we present a novel approach to shape similarity estimation based on ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation and similarity evaluation. This approach is suitable for use in CBIR. The proposed technique produced encouraging results when applied on the MPEG-7 test data.
منابع مشابه
Ordinal-Measure Based Shape Correspondence
We present a novel approach to shape similarity estimation based on distance transformation and ordinal correlation. The proposed method operates in three steps: object alignment, contour to multilevel image transformation, and similarity evaluation. This approach is suitable for use in shape classification, content-based image retrieval, and performance evaluation of segmentation algorithms. T...
متن کاملOrdinal-based shape retrieval with relevance feedback
In this paper we propose to incorporate a feedback loop, into the ordinal correlation framework and apply it to shapebased image retrieval. The user’s feedback on the relevance of the retrieval results is used to tune the weights of the similarity measure. Statistics from the features of both relevant and irrelevant items are used to estimate the weights. Moreover, the information accumulated f...
متن کاملRelevance feedback for shape query refinement
In this paper we propose to incorporate a feedback loop, into the ordinal correlation framework and apply it to shapebased image retrieval. The user’s feedback on the relevance of the retrieval results is used to tune the weights of the similarity measure. Statistics from the features of both relevant and irrelevant items are used to estimate the weights. Moreover, the information accumulated f...
متن کاملSimilarity Metrics : A Formal Uni cation ofCardinal and Non - Cardinal Similarity Measures ? Hugh
In 9] we introduced a formal framework for constructing ordinal similarity measures, and suggested how this might also be applied to cardinal measures. In this paper we will place this approach in a more general framework, called similarity metrics. In this framework, ordinal similarity metrics (where comparison returns a boolean value) can be combined with cardinal metrics (returning a numeric...
متن کاملSimilarity Metrics: A Formal Unification of Cardinal and Non-Cardinal Similarity Measures
In [9] we introduced a formal framework for constructing ordinal similarity measures, and suggested how this might also be applied to cardinal measures. In this paper we will place this approach in a more general framework, called similarity metrics. In this framework, ordinal similarity metrics (where comparison returns a boolean value) can be combined with cardinal metrics (returning a numeri...
متن کامل