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
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.12 No.2
- 발행연도
- 2023.4
- 수록면
- 112 - 121 (10page)
- DOI
- 10.5573/IEIESPC.2023.12.2.112
이용수
초록· 키워드
오류제보하기
Under the background of today’s intelligence, the application of intelligent images is becoming popularized, and the detection of multi-source information images is a valuable research topic. Current image detection methods are insensitive and inaccurate. Therefore, the research combines the SIFT (scale-invariant feature transform) algorithm with the Gabor features and CNN (convolutional neural network (Ed note. Acronyms only need to be defined once.)) to form an improved new algorithm. The algorithm divides the features of the image into several different categories. In each category, the features will be fully identified and extracted, and different levels of feature matching will be performed. The properties of the SIFT algorithm are used to form an operational stacking pyramid and combine the Gabor features and CNN with it. The Gabor filter is formed into a filter bank to obtain parameters, including frequency, scale, and direction in various dimensions. The results are fused to obtain a fusion Gabor descriptor. The high sensitivity of CNN to images, particularly colors, is applied to the algorithm to make monitoring the algorithm more accurate. The experimental results show that the average precision rate, average recall rate, and average precision rate of the improved algorithm are 92.35%, 74.79%, and 82.55%, respectively, which are significantly higher than the other two algorithms used for comparison. The improved algorithm shows better performance and has remarkable advantages that can be applied to the image monitoring of image information.
목차
Abstract
1. Introduction
2. Related Work
2. Application of the SIFT Algorithm Combined with Gabor Feature and CNN in Multi-source Information Image Monitoring
3. Simulation Results and Analysis under the Comparison of Three Algorithms
4. Conclusion
Reference
참고문헌 (20)
참고문헌 신청
H. Chen, W. Li, & X. Xie. “Intelligent image monitoring technology of marine environmental pollution information”. Journal of Coastal Research 2020, 112(1), pp. 45-57.
G. Li, Y. Ye, M. Zhou, et al. “Multi-resolution transmission image registration based on “Terrace Compression Method” and normalized mutual information”. Chemometrics and Intelligent Laboratory Systems 2022, 223, pp. 104-109.
P. Chandra, D. Giri, F. Li, et al. “Advances in intelligent systems and computing information technology and applied mathematics,” Hamming Code 2019, 10, pp. 163-174.
R. Rodríguez, Y. Garcs, E. Torres, et al. “A vision from a physical point of view and the information theory on the image segmentation”, Journal of Intelligent & Fuzzy Systems, 2019 37, pp. 2835-2845.
A. Weatherall, E. Poynter, A. Garner, et al. “Near-infrared spectroscopy monitoring in a pre‐hospital trauma patient cohort: An analysis of successful signal collection”, Acta Anaesthesiologica Scandinavica, 2020, 64, pp. 117-123.
G. Li, Y. Ye, M. Zhou, et al. “Multi-resolution transmission image registration based on “Terrace Compression Method” and normalized mutual information”. Chemometrics and Intelligent Laboratory Systems 2022, 223, pp. 104-109.
P. Chandra, D. Giri, F. Li, et al. “Advances in intelligent systems and computing information technology and applied mathematics,” Hamming Code 2019, 10, pp. 163-174.
R. Rodríguez, Y. Garcs, E. Torres, et al. “A vision from a physical point of view and the information theory on the image segmentation”, Journal of Intelligent & Fuzzy Systems, 2019 37, pp. 2835-2845.
A. Weatherall, E. Poynter, A. Garner, et al. “Near-infrared spectroscopy monitoring in a pre‐hospital trauma patient cohort: An analysis of successful signal collection”, Acta Anaesthesiologica Scandinavica, 2020, 64, pp. 117-123.
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
커널 분해를 통한 고속 2-D 복합 Gabor 필터
멀티미디어학회논문지
2017 .08
-
Content-based Image Retrieval Using Texture Features Extracted from Local Energy and Local Correlation of Gabor Transformed Images
JIPS(Journal of Information Processing Systems)
2017 .01
-
Feature-Point Extraction Based on an Improved SIFT Algorithm
제어로봇시스템학회 국제학술대회 논문집
2017 .10
-
Constrained Local Model과 Gabor Wavelets을 이용한 얼굴 인증 방법
Proceedings of KIIT Conference
2018 .06
-
커널 분해를 통한 고속 2-D 복합 Gabor 필터
한국정보과학회 학술발표논문집
2017 .06
-
An Improved Defect Detection Algorithm of Jean Fabric Based on Optimized Gabor Filter
JIPS(Journal of Information Processing Systems)
2020 .01
-
드론영상에서 구조요청자 자동추출 방안: 도심지역 촬영영상을 중심으로
디지털산업정보학회논문지
2019 .01
-
SIFT 알고리즘을 이용한 영상 기반 선박 인식 방법
한국정보통신학회 종합학술대회 논문집
2019 .10
-
Hardware Accelerated Design on Bag of Words Classification Algorithm
JOURNAL OF PLATFORM TECHNOLOGY
2018 .12
-
딥 러닝 피쳐를 통한 영상 정합 기술
대한전자공학회 학술대회
2016 .06
-
Gait Recognition Algorithm Based on Feature Fusion of GEI Dynamic Region and Gabor Wavelets
JIPS(Journal of Information Processing Systems)
2018 .01
-
화질개선 알고리즘들을 이용한 SIFT 정합점 증가 분석
대한공간정보학회 학술대회
2015 .05
-
Convolutional Neural Network Based Image Processing System
Journal of information and communication convergence engineering
2018 .09
-
Recent Advances in Feature Detectors and Descriptors : A Survey
IEIE Transactions on Smart Processing & Computing
2016 .06
-
Research on Automatic Annotation Algorithm of Incomplete Image based on Mobile Computing Environment
IEIE Transactions on Smart Processing & Computing
2023 .06
-
Multiple Vehicle Detection and Tracking in Highway Traffic Surveillance Video Based on SIFT Feature Matching
JIPS(Journal of Information Processing Systems)
2016 .01
-
Retaining Image Feature Matching Performance Under Low Light Conditions
제어로봇시스템학회 국제학술대회 논문집
2020 .10
-
영상 대비 개선 알고리즘 비교와 성능 개선을 위한 알고리즘 연구
대한전자공학회 학술대회
2017 .06
-
딥 러닝 기반의 SIFT 이미지 특징 검출
한국방송미디어공학회 학술발표대회 논문집
2018 .11
-
Expression Recognition Algorithm Based on Fusion Features for Students’ Emotional Analysis on Art Education Platform
IEIE Transactions on Smart Processing & Computing
2025 .02
이 논문의 저자 정보
최근 본 자료
댓글(0)
0