Burn Area Extraction Method by Depth with Image Processing

Yuki Shimbo; Soichiro Kato; Yoshihiro Yamgaguchi; Toshiyuki Tanaka

doi:10.32188/iar.1.0_117

The 1st International Conference on ICT Application Research

DOI https://doi.org/10.32188/iar.1.0_117

Conference information

Host: International ICT Application Research Society

Name : The 1st International Conference on ICT Application Research (IAR 2023)

Number : 1

Location : Awara-onsen, Fukui, Japan

Date : September 09, 2023 - September 12, 2023

Burn Area Extraction Method by Depth with Image Processing

*Yuki Shimbo, Soichiro Kato, Yoshihiro Yamgaguchi, Toshiyuki Tanaka

Author information

Keywords: burn area extraction, image processing, GrowCut

CONFERENCE PROCEEDINGS OPEN ACCESS

Pages 117-119

Details

Abstract

This study proposes a method to extract burn areas by depth. Extraction of burns was performed in two parts. Seeds were extracted by performing k-means on a two-dimensional histogram. Seeds are used to extract burn regions by Growcut. The resulting accuracy was 83.6% for second-degree burns and 61.8% for third-degree burns.

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