+ All Categories
Home > Documents > Methods of interpolation for whole slide image processing · 1 – Nalecz Institute of...

Methods of interpolation for whole slide image processing · 1 – Nalecz Institute of...

Date post: 17-Oct-2020
Category:
Upload: others
View: 1 times
Download: 0 times
Share this document with a friend
1
1 Nalecz Institute of Biocybernetics and Biomedical Engineering PAS, Warsaw, Poland. 2 Warsaw University of Technology, Warsaw, Poland 3 Military Institute of Medicine, Warsaw, Poland. MATERIALS AND METHODS RESULTS CONCLUSIONS Łukasz Roszkowiak 1* , Anna Korzyńska 1 , Jakub Żak 1 , Dorota Pijanowska 1 , Żaneta Świderska-Chadaj 2 , Tomasz Markiewicz 2,3 BAC KGROUND Histological and cytological samples are evaluated by pathologist. Nowadays, they can use computers to aid they work. Tissue samples are scanned and then can be evaluated on regular workstation instead of a microscope. Unfortunately, scanned tissue samples are enormous images, so often it is necessary to lower their size. One of the most commonly used method for that is interpolation. In this paper, we collect the advantages and drawbacks of nine interpolation methods, and as a result of our analysis, we try to select one interpolation method as the preferred solution. Based on this study the Sinc, Catmull-Rom and Lagrange interpolation methods are the best. Generally, slower methods of interpolation give better results. For the purpose of interolation of whole slide images we propose the use of Lagrange polynomial interpolation. We tested interpolation methods by scaling and reversing the size of 16 different test images. The modified images were compared to the originals in various aspects. One of the most crucial factor is time of calculation. Acknowledgements: This study was supported by the National Centre for Research and Development, Poland (grant PBS2/A9/21/2013). Methods of interpolation for whole slide image processing * contact: [email protected] We tried to decide which method of interpolation is the best to resize whole slide images. As a result, the interpolation method has to be selected depending on the task involving the samples. Nearest neighbor Bilinear Bicubic Cosine Sinc b-splines Hermite Lagrange Catmull- Rom splines Sample evaluation Interpolation Digitalization Tissue sample extraction The results of this study are published as: ROSZKOWIAK, L., KORZYNSKA, A., ZAK, J., PIJANOWSKA, D., SWIDERSKA-CHADAJ, Z. and MARKIEWICZ, T. (2016), Survey: interpolation methods for whole slide image processing. Journal of Microscopy. DOI:10.1111/jmi.12477
Transcript
Page 1: Methods of interpolation for whole slide image processing · 1 – Nalecz Institute of Biocybernetics and Biomedical Engineering PAS, Warsaw, Poland. 2 – Warsaw University of Technology,

1 – Nalecz Institute of Biocybernetics and Biomedical Engineering PAS, Warsaw, Poland. 2 – Warsaw University of Technology, Warsaw, Poland

3 – Military Institute of Medicine, Warsaw, Poland.

MATERIALS AND METHODS

RESULTS

CONCLUSIONS

Łukasz Roszkowiak1*, Anna Korzyńska1, Jakub Żak1, Dorota Pijanowska1,

Żaneta Świderska-Chadaj2, Tomasz Markiewicz2,3

BAC KGROUND

Histological and cytological samples are evaluated by pathologist. Nowadays, they can use computers to aid they work. Tissue samples are scanned and then can be evaluated on regular workstation instead of a microscope. Unfortunately, scanned tissue samples are enormous images, so often it is necessary to lower their size. One of the most commonly used method for that is interpolation. In this paper, we collect the advantages and drawbacks of nine interpolation methods, and as a result of our analysis, we try to select one interpolation method as the preferred solution.

Based on this study the Sinc, Catmull-Rom and Lagrange interpolation methods are the best. Generally, slower methods of interpolation give

better results. For the purpose of interolation of whole slide images we propose the use of Lagrange polynomial interpolation.

We tested interpolation methods by scaling and reversing the size of 16 different test images. The modified images were compared to the originals in various aspects. One of the most crucial factor is time of calculation.

Acknowledgements:

This study was supported by the National Centre for Research and Development, Poland (grant PBS2/A9/21/2013).

Methods of interpolation for whole slide image processing

* contact: [email protected]

We tried to decide which method of interpolation is the best to resize whole slide images. As a result, the interpolation method has to be selected depending

on the task involving the samples.

Nearest neighbor

Bilinear Bicubic Cosine Sinc b-splines Hermite Lagrange Catmull-

Rom splines

Sample evaluation Interpolation Digitalization Tissue sample extraction

The results of this study are published as:

ROSZKOWIAK, L., KORZYNSKA, A., ZAK, J., PIJANOWSKA, D., SWIDERSKA-CHADAJ, Z. and MARKIEWICZ, T. (2016), Survey: interpolation methods

for whole slide image processing. Journal of Microscopy. DOI:10.1111/jmi.12477

Recommended