Evidence map›Paper›PMID 37624785›Full record

ArticlePloS one2023

Multi-threshold image segmentation of 2D OTSU inland ships based on improved genetic algorithm.

Zhongbo Peng, Lumeng Wang, Liang Tong, Han Zou, Dan Liu, Chunyu Zhang

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zhongbo PengSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.
Lumeng WangSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.ORCID 0000-0002-9046-1382
Liang TongSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.
Han ZouSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.
Dan LiuSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.
Chunyu ZhangSchool of shipping and naval architecture, Chongqing Jiaotong University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waterway transportation is a crucial mode of transportation, but ensuring navigational safety in waterways requires effective guidance of ships by the Water Resources Bureau. However, supervisors may only be interested in the ship portion of a complex image and need to quickly obtain relevant ship information. Therefore, this paper proposes a two-dimensional OTSU inland ships multi-threshold image segmentation algorithm based on the improved genetic algorithm. The improved algorithm enhances search accuracy and efficiency, improving image thresholding accuracy and reducing algorithm time complexity. Experimental verification shows the algorithm has excellent evaluation indexes and can achieve real-time segmentation of complex images. This method can not only address the challenges of complex inland navigation environments and difficult acquisition of target data sets, but also be applied to optimization problems in other fields by combining various metaheuristic algorithms.

Indexed as

ShipsTransportationAlgorithmsHumansResearch PersonnelWater Resources

Identifiers

PMID37624785
PMCPMC10456136

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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.