首页> 美国卫生研究院文献>The Open Biomedical Engineering Journal >Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model
【2h】

Research on an Improved Medical Image Enhancement Algorithm Based on P-M Model

机译:基于P-M模型的改进医学图像增强算法研究

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Image enhancement can improve the detail of the image and so as to achieve the purpose of the identification of the image. At present, the image enhancement is widely used in medical images, which can help doctor’s diagnosis. IEABPM (Image Enhancement Algorithm Based on P-M Model) is one of the most common image enhancement algorithms. However, it may cause the lost of the texture details and other features. To solve the problems, this paper proposes an IIEABPM (Improved Image Enhancement Algorithm Based on P-M Model). Simulation demonstrates that IIEABPM can effectively solve the problems of IEABPM, and improve image clarity, image contrast, and image brightness.
机译:图像增强可以改善图像的细节,从而达到图像识别的目的。目前,图像增强技术已广泛用于医学图像中,可以帮助医生进行诊断。 IEABPM(基于P-M模型的图像增强算法)是最常见的图像增强算法之一。但是,这可能会导致纹理细节和其他功能的丢失。为了解决这些问题,本文提出了一种IIEABPM(基于P-M模型的改进图像增强算法)。仿真表明,IIEABPM可以有效解决IEABPM的问题,并提高图像清晰度,图像对比度和图像亮度。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号