Evidence map›Paper›PMID 37128352›Full record

ArticleHeliyon2023

Application of an improved watershed algorithm based on distance map reconstruction in bean image segmentation.

Hongquan Liu, Weijin Zhang, Fushun Wang, Xiaohua Sun, Junhao Wang, Chen Wang, Xinxin Wang

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Rapid identification ofChinese herbal medicines · 2025
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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.

Hongquan LiuCollege of Urban and Rural Construction, Hebei Agricultural University, Baoding, 071000, China.
Weijin ZhangCollege of Information Science and Technology, Hebei Agricultural University, Baoding, 071000, China.
Fushun WangCollege of Information Science and Technology, Hebei Agricultural University, Baoding, 071000, China.
Xiaohua SunDepartment of Digital Media, Hebei Software Institute, Baoding 071000, China.
Junhao WangCollege of Information Science and Technology, Hebei Agricultural University, Baoding, 071000, China.
Chen WangCollege of Information Science and Technology, Hebei Agricultural University, Baoding, 071000, China.
Xinxin WangAgricultural Technology Innovation Center in Mountainous Areas of Hebei Province, Baoding, 071000 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As an important step in image processing, image segmentation can be used to determine the accuracy of object counts, and area and contour data. In addition, image segmentation is indispensable in seed testing research. Due to the uneven grey level of the original image, traditional watershed algorithms generate many incorrect edges, resulting in oversegmentation and undersegmentation, which affects the accuracy of obtaining seed phenotype information. The DMR-watershed algorithm, an improved watershed algorithm based on distance map reconstruction, is proposed in this paper. According to the grey distribution characteristics of the image, the grey reduction amplitude h was selected to generate the mask image with the same grey distribution trend as that of the original image. The original greyscale map was reconstructed with corresponding thresholds selected according to the false minima of different regions that are to be segmented, which generates an accurate distance map that eliminates the wrong edges. An adzuki bean (

Indexed as

Bean imageImage segmentationSeed phenotypeWatershed algorithm

Identifiers

PMID37128352
PMCPMC10147976

What OpenQuestion holds

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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.