Region growing segmentation using de-noising algorithm for medical ultrasound images

Harmeet Saini, V. Sahni
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引用次数: 4

Abstract

Ultrasound pictures are hard to segment because of nearness of speckle noise and the limits of irregular areas. Additionally these are hard to perceive because of resemblance. It's quite difficult to get the desired result from the ultrasound images without improving their quality. Ultrasound images are usually in poor quality. In this paper, a technique to improve the quality of image using region growing segmentation and some other algorithm of image enhancement, de-noising etc. is presented. At the end of processing, the image is enhanced with clear boundaries of region of interest.
基于去噪算法的医学超声图像区域增长分割
超声图像由于散斑噪声的接近和不规则区域的限制而难以分割。此外,这些是很难察觉的,因为相似。如果不提高超声图像的质量,很难得到理想的结果。超声图像的质量通常很差。本文提出了一种利用区域增长分割和其他图像增强、去噪等算法来提高图像质量的方法。在处理结束时,图像被增强为清晰的感兴趣区域边界。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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