We construct metrics from the geodesics of the Structural Similarity index, an image quality assessment measure. An analytical solution is given for the simple case of zero stability constants, and the general solution involving the numerical solution of a nonlinear equation is also found. © 2012 Elsevier Ltd. All rights reserved.

The assessment of image quality is very important for numerous image processing applications, where the goal of image quality assessment (IQA) algorithms is to automatically assess the quality of images in a manner that is consistent with human visual judgment. Two prominent examples, the Structural Similarity Image Metric (SSIM) and Multi-scale Structural Similarity (MS-SSIM) operate under the...

Rice as one of the most important agricultural crops has a putative potential for ensuring food security and addressing poverty in the world. In the present study, in order to provide basic information to improve rice through breeding programs, Inter Simple Sequence Repeat marker (ISSR) was used For DNA fingerprinting and finding genetic relationships among 32 different cultivars. In this study...

Due to rapid development of the Internet, recent years have witnessed an explosion in the rate of data generation. Dealing with data at current scales brings up unprecedented challenges. From the algorithmic view point, executing existing linear algorithms in information retrieval and machine learning on such tremendous amounts of data incur intolerable computational and storage costs. To addre...

DNA-fingerprint similarity is being used increasingly to make inferences about levels of genetic variation within and between natural populations. It is shown that the similarity index--the average fraction of shared restriction fragments--provides upwardly biased estimates of population homozygosity but nearly unbiased estimates of the average identity-in-state for random pairs of individuals....

We propose a similarity index that ensures data privacy and thus is suitable for search systems outsourced in a cloud. The proposed solution can exploit existing efficient metric indexes based on a fixed set of reference points. The method has been fully implemented as a security extension of an existing established approach called M-Index. This Encrypted M-Index supports evaluation of standard...

BACKGROUND Journal editors have exercised their control over submitted papers having a high similarity index. Despite widespread suspicion of possible plagiarism on a high similarity index, our study focused on the real effect of the similarity index on the value of a scientific paper. METHODS This research examined the percent values of the similarity index from 978 submitted (420 published)...

Turbo similarity searching uses information about the nearest neighbours in a conventional chemical similarity search to increase the effectiveness of virtual screening, with a data fusion approach being used to combine the nearest-neighbour information. A previous paper suggested that the approach was highly effective in operation; this paper further tests the approach using a range of differe...

ticles” and “Case Reports” was 13% and 20%, respectively, suggesting a higher similarity index for case reports. Original articles and case reports had a mean similarity of 13% and 13%, whereas that of rejected original articles was 22% and that of rejected case reports was 30%.(Fig. 1) The reported similarity does not directly correlate with plagiarism, but high similarity can reflect unintent...

The applications of spatial data similarity search are increasingly needed nowadays, and accordingly high dimensional index becomes one key technology to solve the problem of spatial data similarity search. Firstly, the distribution of high dimensional data is in-depth analyzed, and then high dimensional data retrieval for spatial data similarity search is also discussed. Secondly, based on the...