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同态滤波去噪，把频率过滤和灰度变换结合起来的一种图像处理方法，它依靠图像的照度/ 反射率模型作为频域处理的基础，利用压缩亮度范围和增强对比度来改善图像的质量。使用这种方法可以使图像处理符合人眼对于亮度响应的非线性特性，避免了直接对图像进行傅立叶变换处理的失真。-Homomorphic filtering noise, the frequency filter and the gradation conversion processing method combining an image, wh
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医学图像配准，医学图像2D_3D配准，基于vc++开发。-Abstract. We present a method that performs the rigid 2D/3D image registration
efficiently on the GPU. As one main contribution of this paper, we propose an
efficient method for generating realistic DRRs that are visu
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Image enhancement is the indispensable features in image
processing to increase the contrast of the remote sensing data
and to provide better transform representation of the remote
image data. This paper presents a new method to improve the
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Image enhancement is a processing on an image in order to make it more appropriate for certain applications.
It is used to improve the visual effects and the clarity of image or to make the original image more conducive for
computer to process. C
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by traditional level set based segmentation models. In this paper, we propose a new level set
method integrating local and global intensity information adaptively to segment inhomogeneous images. The
local image information is associated with the
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Image segmentation is among the most studied problems in image understanding and
computer vision. The goal of image segmentation is to partition the image plane into
a set of meaningful regions. Here meaningful typically refers to a semantic part
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liver contrast-enhanced CT images
that uses shape-intensity prior level set combining probabilistic
atlas and probability map constrains. We first weight all of
the atlases in the selected training datasets by calculating the
similarities bet
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各向异性算法，维持细节的基础上平滑图像，非常好用-Function to perform anisotropic diffusion of an image following Perona and Malik s algorithm. This process smoothes regions while preserving, and enhancing, the contrast at sharp intensity gradients.
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常见的基于人类视觉特性的图像增强算法由于是同时完成动态范围压缩和对比度增强,导致增强图像的整
体对比度不高、边缘部分效果不佳.通过分析人类视觉系统的全局和局部自适应调节原理及人眼视网膜神经节细胞
感受野的传输特性,提出一种仿生图像增强算法.为适应人类视觉系统对光强的主观感觉特性,对图像作全局亮度
对数变换 并利用人眼的主观亮度感觉与实际光强的对数呈局部线性关系的特性,采用视网膜神经元感受野三高斯
模型来调整亮度图像的局部对比度 最后利用线性变换恢复图像的彩色信息.实验结果表明,该
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matlab模拟两束平面波干涉
（1）光源非单色性的影响
实际光源不是绝对的单色，包含一定的光谱宽度△λ。△λ范围内的每一种波长的光都生成各自一组干涉条纹，除零干涉级外，相互间均有位移，使条纹对比度下降。
能产生干涉条纹的最大光程差称为相干长度。与光源的光谱宽度成反比。光源的光谱宽度越小，就能在更大的光程差下观察到干涉条纹。
（2）两相干光波振幅比的影响
振幅相差越大，对比度越小。若两相干光波的振幅相差很大，两相干光波造成的强度实际上与其中较大强度的一个光波单独产生的强度没有
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