지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 중앙대학교 영상콘텐츠융합연구소 TECHART: Journal of Arts and Imaging Science TECHART: Journal of Arts and Imaging Science Vol.5 No.3
- 발행연도
- 2018.8
- 수록면
- 32 - 37 (6page)
- DOI
- 10.15323/techart.2018.08.5.3.32
이용수
초록· 키워드
오류제보하기
This paper describes topological derivatives for image segmentation and restoration. Segmentation performance based on topological derivatives and level set methods heavily depends on initialization information. To achieve stable and accurate segmentation, an efficient initialization scheme is proposed by modeling an image statistically and by analyzing the modeling result based on information theory and classical test theory. Specifically, an image is modeled using a Gaussian mixture model (GMM) for observed data and hidden data; the model information is derived through the maximization of the likelihood distribution and evaluated using the information theory and classical test theory to obtain the weight factors of GMM and class initials. The experimental results demonstrate that the segmentation performance of the proposed method is more stable and accurate than that of the existing algorithms in terms of visual quality and speed.
목차
Abstract
1. Introduction
2. Background: Topological Segmentation and a Solution to the Variational Problem
3. Proposed Method: Initialization of Topological Derivative Segmentation using Modeling, Information Theory, and Classical Test Theory
4. Experiment
5. Conclusion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Segmentation
International Invitation Exhibition of Color Works
2018 .11
-
A Performance Comparison of Deep Learning Models for Scene Text Segmentation
TECHART: Journal of Arts and Imaging Science
2023 .06
-
A Study on Transformers and CNNs in Medical Image Segmentation
Moving Image & Technology (MINT)
2024 .08
-
VOID-BOUNDARY : Mixing & Segmentation
International Invitation Exhibition of Color Works
2016 .11
-
Fast Segmentation-based Tone Mapping Operator
AIC 2017 Jeju
2017 .10
-
Deep Neural Network Application Models for Medical Image Segmentation: A Survey
Moving Image & Technology (MINT)
2023 .08
-
Dots Emotion
TECHART: Journal of Arts and Imaging Science
2016 .11
-
Expenditure-based segmentation of participation sport tourism: The case of running event travelers
INTERNATIONAL JOURNAL OF HUMAN MOVEMENT SCIENCE
2015 .06
-
Does a Satisfied Customer Care about Price? The Link between Customer Satisfaction and Price Sensitivity in the Commercial Martial Arts Industry
Journal of Global Sport Management
2019 .01
-
Eye Wire Derivative 04
International Invitation Exhibition of Color Works
2020 .12
-
Image 18-02
한국기초조형학회 작품집
2018 .05
-
beyond the image
한국기초조형학회 작품집
2019 .05
-
After Image_23_08,9
한국기초조형학회 작품집
2023 .07
-
Image to Images
한국기초조형학회 작품집
2023 .11
-
After Image_23_07
한국기초조형학회 작품집
2023 .06
-
Image 2023
한국기초조형학회 작품집
2023 .07
-
beyond the image
한국기초조형학회 작품집
2019 .11
-
사용자 세분화 전략에 따른 미래 사무공간 환경 특성 연구
한국공간디자인학회 논문집
2021 .12
-
Style Transfer Using Convolutional Neural Network and Image Segmentation
TECHART: Journal of Arts and Imaging Science
2021 .05
-
휠체어 농구 투 핸드 3점 슛 동작 시 성공과 실패에 따른 운동학적 비교분석
한국체육과학회지
2018 .12
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2018-688-003400816