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서지반출
유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출
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  • 유방 초음파 영상에서 도메인 경험 지식 기반의 노이즈 필터링 알고리즘을 이용한 ROI(Region Of Interest) 추출
  • The Extraction of ROI(Region Of Interest)s Using Noise Filtering Algorithm Based on Domain Heuristic Knowledge in Breast Ultrasound Image
저자명
구락조,정인성,최성욱,박희붕,왕지남,Koo. Lock-Jo,Jung. In-Sung,Choi. Sung-Wook,Park. Hee-Boong,Wang. Gi-Nam
간행물명
산업경영시스템학회지
권/호정보
2008년|31권 1호|pp.74-82 (9 pages)
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한국산업경영시스템학회
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The objective of this paper is to remove noises of image based on the heuristic noises filter and to extract a tumor region by using morphology techniques in breast ultrasound image. Similar objective studies have been conducted based on ultrasound image of high resolution. As a result, efficiency of noise removal is not fine enough for low resolution image. Moreover, when ultrasound image has multiple tumors, the extraction of ROI (Region Of Interest) is not accomplished or processed by a manual selection. In this paper, our method is done 4 kinds of process for noises removal and the extraction of ROI for solving problems of restrictive automated segmentation. First process is that pixel value is acquired as matrix type. Second process is a image preprocessing phase that is aimed to maximize a contrast of image and prevent a leak of personal information. In next process, the heuristic noise filter that is based on opinion of medical specialist is applied to remove noises. The last process is to extract a tumor region by using morphology techniques. As a result, the noise is effectively eliminated in all images and a extraction of tumor regions is possible though one ultrasound image has several tumors.