Imaging of color targets through scattering media based on mixed speckle pattern separation

Guo, Enlai; Wei, Yi; Zhu, Shuo; Bai, Lianfa; Han, Jing

doi:10.1016/j.optlaseng.2022.107324

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Texture is usually automatically extracted and stored in the data graph as one of the basic image features, along with color, shape, and positioning. In the process of color-based image retrieval, texture elements are extracted from the image to express its texture information, and then combined with color for image presentation [15]. Meanwhile, the new form of image retrieval technology revolves around key steps such as algorithm, analysis, extraction, and classification.…”

Section: Abstract Co-occurrence Analysismentioning

confidence: 99%

Visual Analysis on the Research of Color-based Image Retrieval

Su,

2023

FHSS

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This study retrieved relevant literature on color-based image retrieval in the Web of Science core database, and used bibliometrics and CiteSpace 6.1.R2 software to visually analyze the authors, institutions, and keywords of literature published in this field from 2005 to 2023. This study summarized the current status and development trend of color-based image retrieval and combined information extraction to select and include 716 articles for analysis. The results showed that: (1) In the last 20 years, the number of publications in this field has gone through a slow budding phase, a fluctuating growth phase, and an explosive growth phase; research in this area has been highly active in recent three years. (2) The authors of this field have a relatively even distribution of publications and some authors have formed close collaborative groups. (3) The research institutions mainly include research institutes and comprehensive universities, which have close collaborations with each other. (4) Co-occurrence and clustering analysis of keywords showed that research in this field is mainly focused on the main paths, research methods, and technological tools of color-based image retrieval, as well as key objects and potential influencing factors in the technological process. (5) Emerging keywords analysis predicted that more precise color description and extraction technology will be the focus of future research. In conclusion, color-based image retrieval is still in a hot research and technology explosion phase, and cooperation between countries, institutions, and authors should be strengthened to conduct more in-depth research.

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Section: Abstract Co-occurrence Analysismentioning

confidence: 99%

Visual Analysis on the Research of Color-based Image Retrieval

Su,

2023

FHSS

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“…Shi 12 uses the network to achieve the reconstruction of a target illuminated by this light source. Guo et al 13 use a multi-wavelength laser with a rotating ground glass as the light source to achieve multispectral reconstruction. The second type of non-coherent light source is mainly composed of a LED and narrow band filters.…”

Section: Introductionmentioning

confidence: 99%