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Elyas Rashno

6 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • last author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • eess.AS1
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedContent-based image retrieval system with most relevant features among wavelet and color features

11 citations · 11 across the 1 of their papers we have counts for

collaborators
Showing eess.IVShow all

4 papers · 1 filter

eess.IV2019

Fluid segmentation in Neutrosophic domain

Elyas Rashno, Abdolreza Rashno, Sadegh Fadaei

Optical coherence tomography (OCT) as retina imaging technology is currently used by ophthalmologist as a non-invasive and non-contact method for diagnosis of agerelated degenerati…

eess.IV2019

Content-based image retrieval speedup

Sadegh Fadaei, Abdolreza Rashno, Elyas Rashno

Content-based image retrieval (CBIR) is a task of retrieving images from their contents. Since retrieval process is a time-consuming task in large image databases, acceleration met…

eess.IV2019★ 11 cited

Content-based image retrieval system with most relevant features among wavelet and color features

Abdolreza Rashno, Elyas Rashno

Content-based image retrieval (CBIR) has become one of the most important research directions in the domain of digital data management. In this paper, a new feature extraction sche…

eess.IV2018

An effective clustering method based on data indeterminacy in neutrosophic set domain

Elyas Rashno, Behrouz Minaei-Bidgolia, Yanhui Guo

In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging…

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