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基于线性广义模糊算子图像快速增强算法
引用本文:田沄,王毅,赵海涛,魏梦绮,郝重阳.基于线性广义模糊算子图像快速增强算法[J].第四军医大学学报,2006,27(1):83-85.
作者姓名:田沄  王毅  赵海涛  魏梦绮  郝重阳
作者单位:西北工业大学生物医学工程研究所,陕西,西安,710072;第四军医大学西京医院放射科,陕西,西安,710033
基金项目:国家博士点基金(20040699015)
摘    要:目的:研究Pal类模糊算法的图像增强原理,提出适合CT/MR图像的快速增强算法.方法:首先,通过定义一个线性映射函数,将感兴趣区域(ROI)从背景区域分离出来;其次,用线性的广义模糊算子(L-GFO)单独对ROI进行增强.结果:在P4—2.4G/512M/128M微机上,用IDL对50幅CT/MR图像处理速度进行测试,本文算法平均每幅增强处理用时约0.8ms.结论:本文算法减少了运算量、提高了处理速度.

关 键 词:CT/MR图像  感兴趣区域  模糊增强  线性的广义模糊算子
文章编号:1000-2790(2006)01-0083-03
收稿时间:2005-05-13
修稿时间:2005-06-29

A fast image enhancement algorithm based on linear general fuzzy operator
TIAN Yun,WANG Yi,ZHAO Hai-Tao,WEI Meng-Qi,HAO Chong-Yang.A fast image enhancement algorithm based on linear general fuzzy operator[J].Journal of the Fourth Military Medical University,2006,27(1):83-85.
Authors:TIAN Yun  WANG Yi  ZHAO Hai-Tao  WEI Meng-Qi  HAO Chong-Yang
Abstract:AIM: To study the image enhancement principle of Pal fuzzy algorithms and to propose a fast fuzzy enhancement algorithm fitting for CT/MR image. METHODS: The region of interest (ROI) was separated from the region of background by a novel linear mapping function and further enhanced by the linear general fuzzy operator. RESULTS: Fifty CT/MR images were implemented in IDL on a PC with Intel Pentium 4 2.4 GHz, 512 M RAM and 128 M RAMDAC, which revealed that it took about 0.8 ms to enhance each image using the algorithm proposed. CONCLUSION: The algorithm presented by this paper reduces the computation load and speeds up the process.
Keywords:CT/MR image  region of interest  fuzzy enhancement  linear general fuzzy operator
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