earticle

영어

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.