- 标题
- 摘要
- 关键词
- 实验方案
- 产品
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: A Novel Similarity Measure for Matching Local Image Descriptors
摘要： mp-dissimilarity is a recently proposed data-dependence similarity measure. In the literature, how mp-dissimilarity is generally used for matching local image descriptors has been formalized, and three matching strategies have been proposed by incorporating (cid:96)p-norm distance and mp-dissimilarity. Each of these three matching strategies is essentially a two-round matching process that utilizes (cid:96)p-norm distance and mp-dissimilarity individually. This paper presents two novel similarity measures for matching local image descriptors. The first similarity measure normalizes and weights the similarities that are calculated using (cid:96)p-norm distance and mp-dissimilarity, respectively. The second similarity measure involves a novel calculation that takes into account both spatial distance and data distribution between descriptors. The proposed similarity measures are extensively evaluated on a few image registration benchmark data sets. Experimental results will demonstrate that the proposed similarity measures achieve higher matching accuracy and are able to attain better recall results when registering multi-modal images compared with the existing matching strategies that combine (cid:96)p-norm distance and mp-dissimilarity.
关键词： local descriptors,accuracy,mp-dissimilarity,image registration,(cid:96)p-norm distance,Similarity measure
更新于2025-09-23 15:23:52
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[IEEE 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - Coimbatore (2017.12.14-2017.12.16)] 2017 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC) - An Automated Tool to Segment Blood Vessel from RGB Retinal Images
摘要： This paper proposes an approach to examine the condition of retinal blood vessel in the benchmark retinal images. An automated tool to segment the blood vessel is constructed with multi-scale matched filter along with the bat algorithm (BA). The chief motivation behind the use of BA is to discover optimal filter parameters to attain better segmentation accuracy. The proposed tool is tested using the benchmark DRIVE dataset. The experimental work is implemented using the Matlab software and the superiority of the constructed tool is appraised by computing the well known picture similarity and statistical measures. Finally, the superiority of the proposed approach is justified with a relative analysis against similar procedures available in the literature. The results of this paper confirm that, the implemented tool is efficient in extracting the blood vessel contrast to other techniques existing in the literature.
关键词： Retinal image,segmentation,blood vessel,bat algorithm,similarity measure
更新于2025-09-04 15:30:14