Image analysis for measuring rod network properties
2015 · Measurement Science and Technology
저자
Dongjae Kim, Jungkyu Choi, 남재욱 (Jaewook Nam)
연구주제
Nanomaterials and Printing Technologies
NTIS 과학기술표준분류
가장 가까운 분류(에너지/자원 > 신재생에너지 > 태양광)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.
AI 연구 키워드·방법
nanowire alignment 은 나노와이어 네트워크 투명 전도성 전극
키워드 (OpenAlex)
silver nanowire networks transparent conductive films frequency-domain filtering connected component segmentation nanowire alignment area fraction image analysis algorithms dip coating
초록
Abstract In recent years, metallic nanowires have been attracting significant attention as next-generation flexible transparent conductive films. The performance of films depends on the network structure created by nanowires. Gaining an understanding of their structure, such as connectivity, coverage, and alignment of nanowires, requires the knowledge of individual nanowires inside the microscopic images taken from the film. Although nanowires are flexible up to a certain extent, they are usually depicted as rigid rods in many analysis and computational studies. Herein, we propose a simple and straightforward algorithm based on the filtering in the frequency domain for detecting the rod-shape objects inside binary images. The proposed algorithm uses a specially designed filter in the frequency domain to detect image segments, namely, the connected components aligned in a certain directio…
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NTIS 성과DB(2020–24)에서 DOI 매칭 없음
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