In this paper we present an image segmentation algorithm based on the gradient histogram threshold image improvement. And the MATLAB simulation result shows that: each kind of image segmentation algorithm has its own advantages, disadvantages and scope. Therefore, it is necessary to judge and analysis the image first before we do image segmentation, then we can choose an appropriate segmentation algorithm and it makes the result of the image segmentation satisfactory.
목차
Abstract 1. Introduction 2. Image Segmentation 2.1. Threshold Segmentation 2.2. Threshold Segmentation of Gray Histogram 3. Deficiency of the Classic Segmentation Algorithm 4. Segmentation Algorithm based on Image Enhancement 5. Experimental Results and Analysis 6. Conclusions Acknowledgements References
키워드
image segmentationthreshold segmentationregion growingsplitting and mergingboundary detectionMATLAB
저자
Li Haitao [ College of Computer and Information Technology, Shangqiu Normal University, Shangqiu 476000, China ]
Li Shengpu [ Collages of Computer Science and Technology, Pingdingshan University, Pingdingshan, Henan, China ]
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
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.3