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利用同态滤波算法和全局直方图均衡算法对图像进行处理使之更清晰化 色彩更饱满(Homomorphic filtering algorithm and global histogram equalization algorithm are used to process the image to make it clearer and more colorful.)

ENVI中的ROI感兴趣文件自动转换成TIFF影像数据文件(ROI To Tiff Files)

说明：  灰度图像异或加密，函数需要输入一个要加密的图片，图片的灰阶以及一个伪随机比特流(Gray image XOR encryption, the function needs to input a picture to be encrypted, the gray scale of the picture and a pseudo-random bit stream)

从键盘读取输入信息，并绘制最终的高斯函数。(Read from the keyboard to enter information, and rendering the final Gaussian function.)

用SAV函数实现分析图像数据的实用程序，功能上基本可以实现的。(with HBV Function analysis of image data of practical procedures, the basic function can be realized.)

基于contourlet的图像融合，低频分量在融合过程中使用加权平均的融合规则(Contourlet-based image fusion, the low frequency components in the integration process using the weighted average of the fusion rules)

active_demons配准算法,附加几个评价参数！(Active_demons registration algorithm, add several evaluation parameters!)

说明：  本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy related knowledge is introduced to realize full-automatic image segmentation. However, when the Gaussian mixture model is used to analyze the image data, there will be some over-fitting phenomenon, resulting in that we cannot get the expected number of clusters. In this paper, a reasonable merging criterion is designed to simplify the model and effectively eliminate the over-fitting phenomenon, so that the final clustering number is in line with the expectation. A reasonable criterion is designed to improve the automatic image segmentation method and make the segmentation result more optimized.)

说明：  对限制对比度自适应直方图均衡化算法adapthisteq进行了解释。可用于图像增强(Contrast to the limited adaptive histogram equalization algorithm adapthisteq is explained. Can be used for image enhancement)

模糊图像的去模糊处理，主要有利用hough变换估计模糊方向，利用radon变换估计模糊长度。(Blurred image deblurring process, mainly using the estimated blurring direction hough transform, radon transform using the estimated blur length.)