TY - GEN
T1 - Automatic system for stitching microscopic images using OpenPano
AU - Sitanggang, Imas Sukaesih
AU - Akbar, Auriza
AU - Rulaningtyas, Riries
AU - Suksmono, Andriyan Bayu
AU - Triyana, Kuwat
AU - Winarni, Dwi
N1 - Publisher Copyright:
© 2020 Author(s).
PY - 2020/12/9
Y1 - 2020/12/9
N2 - Analyzing pap smear images by manual reading through a microscope is a challenge for doctors especially in distinguishing epithelial cells from inflammatory cells. A computer-based application is required for cervical cancer screening and displaying the results of reading automatically pap smear images using a microscope. This study aims to develop a module for stitching microscopic images including pap smear images which are collected from a microscope. A module for automatically stitching pap smear images is an important component in pap smear images management system. There are three tasks in stitching several pap smear images which were implemented in this study. Those three tasks include 1) feature extraction with scale-invariant feature transform, 2) estimation of homography or affine transformation by random sample consensus and 3) optimization of connection between images with bundle adjustment and blending. We use OpenPano to implement those three tasks. The system has successfully stitched the pap smear images with the feature overlap among the images greater than 10%. The stitched pap smear image has good quality after smoothing using the vertical blending step. In addition, blurry pixels on in some spots disappeared after performing the stitching error. The image quality has been improved after the multiband blending using 16-band and 128-band which shows the significant improvement on the 128-band. The system is expected to assist doctors in pap smear image identification.
AB - Analyzing pap smear images by manual reading through a microscope is a challenge for doctors especially in distinguishing epithelial cells from inflammatory cells. A computer-based application is required for cervical cancer screening and displaying the results of reading automatically pap smear images using a microscope. This study aims to develop a module for stitching microscopic images including pap smear images which are collected from a microscope. A module for automatically stitching pap smear images is an important component in pap smear images management system. There are three tasks in stitching several pap smear images which were implemented in this study. Those three tasks include 1) feature extraction with scale-invariant feature transform, 2) estimation of homography or affine transformation by random sample consensus and 3) optimization of connection between images with bundle adjustment and blending. We use OpenPano to implement those three tasks. The system has successfully stitched the pap smear images with the feature overlap among the images greater than 10%. The stitched pap smear image has good quality after smoothing using the vertical blending step. In addition, blurry pixels on in some spots disappeared after performing the stitching error. The image quality has been improved after the multiband blending using 16-band and 128-band which shows the significant improvement on the 128-band. The system is expected to assist doctors in pap smear image identification.
UR - http://www.scopus.com/inward/record.url?scp=85097987777&partnerID=8YFLogxK
U2 - 10.1063/5.0034916
DO - 10.1063/5.0034916
M3 - Conference contribution
AN - SCOPUS:85097987777
T3 - AIP Conference Proceedings
BT - 2nd International Conference on Physical Instrumentation and Advanced Materials 2019
A2 - Trilaksana, Herri
A2 - Harun, Sulaiman Wadi
A2 - Shearer, Cameron
A2 - Yasin, Moh
PB - American Institute of Physics Inc.
T2 - 2nd International Conference on Physical Instrumentation and Advanced Materials, ICPIAM 2019
Y2 - 22 October 2019
ER -
