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基于线性广义模糊算子图像快速增强算法 |
[高血压医学论文] 【关键词】 模糊增强
A fast image enhancement algorithm based on linear general fuzzy operator
【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
【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(LGFO)单独对ROI进行增强. 结果:在P42.4G/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0.8 ms. 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
0引言
针对图像的模糊性和不均匀性问题,1983年Pal等[1]提出模糊增强算法,后来陆续又出现了一些改进算法[2,3];这些算法对整幅图像的ROI与背景区域统一进行处理,同时所采用的GFO又是非线性的,造成运算开销大、处理速度低下. 针对这种问题,我们提出了一……
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投稿人:gf6h6 |
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最后编辑:647754 |
高血压医学论文 | 高血压医学论文 |
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