Evidence map›Paper›PMID 28740092›Full record

ArticleScientific reports2017

An adaptive image enhancement method for a recirculating aquaculture system.

Chao Zhou, Xinting Yang, Baihai Zhang, Kai Lin, Daming Xu, Qiang Guo, Chuanheng Sun

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chao ZhouBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China.
Xinting YangBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China. yangxt@nercita.org.cn.
Baihai ZhangSchool of Automation, Beijing Institute of Technology, Beijing, 100081, China.
Kai LinBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China.
Daming XuBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China.
Qiang GuoBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China.
Chuanheng SunBeijing Research Center for Information Technology in Agriculture, Beijing, 100097, China. sunch@nercita.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the low and uneven illumination that is typical of a recirculating aquaculture system (RAS), visible and near infrared (NIR) images collected from RASs always have low brightness and contrast. To resolve this issue, this paper proposes an image enhancement method based on the Multi-Scale Retinex (MSR) algorithm and a greyscale nonlinear transformation. First, the images are processed using the MSR algorithm to eliminate the influence of low and uneven illumination. Then, the normalized incomplete Beta function is used to perform a greyscale nonlinear transformation. The function's optimal parameters (α and β) are automatically selected by the particle swarm optimization (PSO) algorithm based on an image contrast measurement function. This adaptive image enhancement method is compared with other classic enhancement methods. The results show that the proposed method greatly improves the image contrast and highlights dark areas, which is helpful during further analysis of these images.

Identifiers

PMID28740092
PMCPMC5524723

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.