Rapid extraction of the hottest or coldest regions of medical thermographic images

• Main Authors: Etehadtavakol, Mahnaz, Emrani, Zahra, Ng, Eddie Yin Kwee
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2020
• Subjects: Engineering::Mechanical engineering; Extracting; Lazy Snapping
• Online Access: https://hdl.handle.net/10356/139237
• Institution: Nanyang Technological University

Early detection of breast tumors, feet pre-ulcers diagnosing in diabetic patients, and identifying the location of pain in patients are essential to physicians. Hot or cold regions in medical thermographic images have potential to be suspicious. Hence extracting the hottest or coldest regions in the...