SNU CBE

An efficient algorithm for detecting spherical particles from differential interference microscopic images

2017 · Measurement Science and Technology

저자

Hyeyoung Hong, 남재욱 (Jaewook Nam)

연구주제

Industrial Vision Systems and Defect Detection

NTIS 과학기술표준분류

가장 가까운 분류(재료 > 분석/물성 평가기술)가 화학·화공 범위 밖이다. 배정 근거: 지원 과제·키워드 근거가 없어 AI가 논문 제목·초록을 읽고 고른 분류.

AI 연구 키워드·방법

anisotropic conductive film particulate film spherical particle detection

미분간섭대비 현미경(DIC) 이미지 분석

키워드 (OpenAlex)

differential interference contrast microscopy anisotropic conductive film image analysis algorithms

초록

Abstract Particulate films have become critical parts in electronics industries because they can provide the required optical and electrical properties. Microstructures, which consist of various particles inside the films, strongly influence the performance of devices. Therefore, the visualization and detection of particles can be an indirect method of determining the device performance without destroying samples. In this study, we propose an image analysis algorithm to detect spherical particles inside a thin film visualized by a differential interference contrast microscope. Our goal is to develop a robust and efficient algorithm specifically for uniform-sized spherical particles sandwiched between two solid thin and flat plates, which are usually applied in anisotropic conductive films that provide electrical and mechanical connections between two electrodes from a chip and substrate.…

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

남재욱

연구주제 1

Industrial Vision Systems and Defect Detection

방법 2

이미지 분석 · 미분간섭대비 현미경(DIC)