research-article

Study on Microscopic Image Stitching Method of Dyeing Urine Sediment

Authors:

Lisheng Wang,

Lingchao Jiang,

Dongdong ZhangAuthors Info & Claims

CSAE '19: Proceedings of the 3rd International Conference on Computer Science and Application Engineering

Article No.: 100, Pages 1 - 5

https://doi.org/10.1145/3331453.3360962

Published: 22 October 2019 Publication History

Get Access

Abstract

The microscopic image of dyeing urine sediment plays an important role in the initial diagnosis of type 2 diabetes. Based on the existing microscopic image mosaic technique, a new method which is more suitable for microscopic image of urine sediment is proposed. The method firstly uses the image graying method to perform the serialized microscopic image, and then uses the grayscale-based template registration algorithm to find the overlapping position between adjacent images. Finally, the weighted average fusion method is used to eliminate the difference in overlapping areas and stitch two images together. This method can eliminate the influence of interference factors in the microscopic image acquisition process to a certain extent, and can register the microscopic cell images more accurately, and finally obtain a large high-quality image.

References

[1]

Bragg F, Holmes MV, Iona A, et al. (2017). Association Between Diabetes and Cause-Specific Mortality in Rural and Urban Areas of China. JAMA, pp. 280--289.

Crossref

Google Scholar

[2]

Fowkes FG, Rudan D, Rudan I, et al. (2013). Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet, pp. 1329--1340.

Crossref

Google Scholar

[3]

Yang W, Lu J, Weng J, et al. (2010). Prevalence of diabetes among men and women in China. N Engl J Med, pp. 1090--101.

Google Scholar

[4]

C D Kuglin, D C Hines (1977). The phase correlation image alignment method. IEEE International Conference on Cybernetics and Society, 1975, pp. 163--165.

Google Scholar

[5]

H. P. Moravec. Toward automatic visual obstacle avoidance. International Joint Conference on Artificial Intelligence, pp. 584.

Google Scholar

[6]

Milan S, Roger B, Vaclav H (2014). Image Processing, Analysis and Machine Vision. Journal of Electronic Imaging, pp. 685--686.

Google Scholar

[7]

Yager, R R (1988). On ordered weighted averaging aggregation operators in multi-criteria. Systems, Man and Cybernetics, IEEE Transactions on, 1(1), pp. 183--190.

Google Scholar

Index Terms

Study on Microscopic Image Stitching Method of Dyeing Urine Sediment
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

Recommendations

Feature Based Stitching of a Clear/Blurred Image Pair
CMSP '11: Proceedings of the 2011 International Conference on Multimedia and Signal Processing - Volume 01

Clear image stitching becomes mature now, but how to stitch blurred images with clear ones is still tough, mainly because of the ill-posed image deblurring. Existing deblurring methods assume spatial-invarint blur kernel, pixelwise constant blur kernel ...
A robust method for image stitching
Abstract
We propose a novel method for large-scale image stitching that is robust against repetitive patterns and featureless regions in the imagery. In such cases, state-of-the-art image stitching methods easily produce image alignment artifacts, since ...
Image Stitching Using Structure Deformation

The aim of this paper is to achieve seamless image stitching without producing visual artifact caused by severe intensity discrepancy and structure misalignment, given that the input images are roughly aligned or globally registered. Our new approach is ...

Comments

Information & Contributors

Information

Published In

CSAE '19: Proceedings of the 3rd International Conference on Computer Science and Application Engineering

October 2019

942 pages

ISBN:9781450362948

DOI:10.1145/3331453

Conference Chair:
Ali Emrouznejad,
Program Chair:
Zeshui Xu

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 October 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

CSAE 2019

CSAE 2019: The 3rd International Conference on Computer Science and Application Engineering

October 22 - 24, 2019

Sanya, China

Acceptance Rates

Overall Acceptance Rate 368 of 770 submissions, 48%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

0
Total Citations
63
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Index Terms

Recommendations

Feature Based Stitching of a Clear/Blurred Image Pair

A robust method for image stitching

Image Stitching Using Structure Deformation