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Comparison of Common Methods from Intertwined Application in Image Processing
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  • Comparison of Common Methods from Intertwined Application in Image Processing
  • Comparison of Common Methods from Intertwined Application in Image Processing
저자명
Shin. Seong-Yoon,Lee. Hyun-Chang,Rhee. Yang-Won
간행물명
International journal of maritime information and communication sciences
권/호정보
2010년|8권 4호|pp.405-410 (6 pages)
발행정보
한국정보통신학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

Image processing operations like smoothing and edge detection, and many more are very widely used in areas like Computer Vision. We classify the image processing domain as seven branches-image acquirement and output, image coding and compression, image enhancement and restoration, image transformation, image segmentation, image description, and image recognition and description. We implemented algorithms of gaussian smoothing, laplace sharpening, image contrast effect, image black and white effect, image fog effect, image bright and dark effect, image median filter, and canny edge detection. Such experimental results show the figures respectively.