Speckle Noise Removal in Image-based Detection of Refractive Index Changes in Porous Silicon Microarrays.

Ruyong Ren, Zhiqing Guo, Zhenhong Jia, Jie Yang, Nikola K Kasabov, Chuanxi Li

Abstract read

In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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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.

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method.Diagnostics (Basel, Switzerland) · 2022
Article
Denoising of Fluorescence Image on the Surface of Quantum Dot/Nanoporous Silicon Biosensors.Sensors (Basel, Switzerland) · 2022
Article

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5 · Who and what money

Authors and funding

6 authors.

Ruyong RenCollege of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China.

Zhiqing GuoCollege of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China.

Zhenhong JiaCollege of Information Science and Engineering, Xinjiang University, Urumqi, 830046, China. jzhh@xju.edu.cn.

Jie YangInstitute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, Shanghai, 200240, China.

Nikola K KasabovKnowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, 1020, New Zealand.ORCID http://orcid.org/0000-0003-4433-7521

Chuanxi LiSchool of Physical Science and Technology, Xinjiang University, Urumqi, 830046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on porous silicon (PSi) microarray images, we propose a new method called the phagocytosis algorithm (PGY) for removing the influence of speckle noise on image gray values. In a theoretical analysis, speckle noise of different intensities is added to images, and a suitable denoising method is developed to restore the image gray level. This method can be used to reduce the influence of speckle noise on the gray values of PSi microarray images to improve the accuracy of detection and increase detection sensitivity. In experiments, the method is applied to detect refractive index changes in PSi microcavity images, and a good linear relationship between the gray level change and the refractive index change is obtained. In addition, the algorithm is applied to a PSi microarray image, and good results are obtained.

Identifiers

PMID31628389

DOI10.1038/s41598-019-51435-y

PMCPMC6802097

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