In this paper method has been applied in the speckle noise reduction in medical imaging. Speckle Noise reduces the ability of an observer to distinguish fine details in diagnostic testing. It also limits the effective implementation of image processing such as edge detection, segmentation and volume rendering in 3 D. Therefore; treatment methods of speckle noise were sought to improve the image quality and to increase the capacity of diagnostic medical ultrasound images. The methods we used in this work are new, they are used in image processing, among their applications noise reduction in medical imaging. The use of wavelets has brought a new breath in the field of signal and image processing since its appearance. They make it possible to analyze and identify discontinuities of a signal to one or two dimensions and at different scales. This feature is used for image denoising. In the field of medical imaging, denoising seeks to discern relevant information in the medical field as the shape, contour, etc. Thresholding by wavelet, we can denoise an image by eliminating fine details.
목차
Abstract 1. Introduction 2. Denoising Using Wavelet Transform 3. Thresholding Operators for De-noising 4. Selection of Threshold Value 5. Experiment Results 6. Conclusion References
보안공학연구지원센터(IJBSBT) [Science & Engineering Research Support Center, Republic of Korea(IJBSBT)]
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 Bio-Science and Bio-Technology
간기
격월간
pISSN
2233-7849
수록기간
2009~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Bio-Science and Bio-Technology Vol.6 No.6