Image Processing Threshold of Acetabulum Porosity for Age Estimation

This study explores the use of digital image processing to estimate age based on the porosity of the acetabulum, a part of the hip bone. By analyzing grayscale images of the acetabulum, the research aims to develop a standardized method for bone age estimation. The study focuses on optimizing the threshold value used to distinguish between bone tissue and porosity. Images from 99 male pelvic bones, aged 26 to 97, were analyzed. The results indicate that the mean – 1.0 SD threshold provides the most reliable age estimation, with an average error margin of 12.9 to 13.9 years. This method offers a promising alternative to traditional expert evaluations, which often have a similar error margin.

Authors

Institutions

Publication Details

Published
2025-05-06
DOI
https://doi.org/10.1109/iceast64767.2025.11088184
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Image Processing Threshold of Acetabulum Porosity for Age Estimation

Pasuk Mahakkanukrauh, Supachard Krudtong, Nipon Theera-Umpon Chiang
Face recognition and analysis
article

Image Processing Threshold of Acetabulum Porosity for Age Estimation

Pasuk Mahakkanukrauh, Supachard Krudtong, Nipon Theera-Umpon Chiang
article en

Abstract

This study explores the use of digital image processing to estimate age based on the porosity of the acetabulum, a part of the hip bone. By analyzing grayscale images of the acetabulum, the research aims to develop a standardized method for bone age estimation. The study focuses on optimizing the threshold value used to distinguish between bone tissue and porosity. Images from 99 male pelvic bones, aged 26 to 97, were analyzed. The results indicate that the mean – 1.0 SD threshold provides the most reliable age estimation, with an average error margin of 12.9 to 13.9 years. This method offers a promising alternative to traditional expert evaluations, which often have a similar error margin.

Chiang Mai University (TH)
Openalex Percentile: Top 83%
Face recognition and analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Image Processing Threshold of Acetabulum Porosity for Age Estimation — Pasuk Mahakkanukrauh, Supachard Krudtong, et al. · (2025) | TGRS Research Map | TGRS