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A Hierarchical Segmentation Approach towards Roads and Slopes for Collapse Recognition
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.6 No.5 (2013.10)바로가기
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- 페이지
- pp.153-164
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A205436
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Color image processing is widely used in Intelligent Transport System, but seldom used in recognition of roads and slopes collapse. The application can reduce time and efforts. And the roads and slopes segmentation is the first and key step of the recognition system, which is a challenging and difficult problem. One of the problems is the presence of different types of roads and slopes. In this paper, we propose a novel framework for segmenting road images in a hierarchical manner that can separate the following objects: road and slopes with or without collapse, sky, road signs, cars, buildings and vegetation from the images. Then the Region of Interests (ROIs), i.e. the roads and slopes, are obtained with the geometrical, location of the objects and statistical color features which are extracted based on L*a*b color space and Gabor filter. According to combination K-means clustering with region merging, connected-component algorithm and morphological operation, the roads and slopes are segmented. The hierarchical approach does not assume the roads are present in the same type and assume the road images can be captured from arbitrary angles. The experiments show that the approach in this paper can achieve a satisfied result on various road images.
목차
Abstract
1. Introduction
2. Proposed Segmentation Frameworks
3. The Approach of Segmentation
3.1. Vegetation Separation
3.2. Color Feature Extraction with Gabor Filter
3.3. K-means Clustering
3.4. Road Signs, Cars and Small Blobs Separation
3.5. Sky Separation
3.6. Road and Slopes
4. Experiment Analyses
5. Conclusions
Acknowledgements
References
키워드
Road image segmentation Gabor filter color feature K-means clustering roads and slopes collapse저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.5
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