ROC

小波均匀量化huffman熵编码图像压缩程序：分析对象Lena.bmp(Uniform quantization of wavelet image compression huffman entropy coding procedure: analysis of object Lena.bmp)

说明：  基于相关跟踪的飞机识别和目标跟踪，matlab代码实现(Target tracking of aircraft can be achieved)

说明：  基于分水岭算法和图论的图像分割，所使用的方法为分水岭算法和Normalized Cut方法(Based on watershed algorithm and graph theory, image segmentation, the method used as a watershed algorithm and Normalized Cut method)

说明：  该压缩包内含有基于梯度金字塔变换的多模态图像融合方法的MATLAB代码，可以直接运行，得到融合结果。另外，压缩包内包括了多组已配准、待融合的图像示例，具体包括红外图像与可见光图像、CT与MR图像，多聚焦图像。本人还对代码进行了必要的解释。推荐下载(The compression package contains matlab code of multimodal image fusion method based on gradient pyramid transformation, which can be run directly to get fusion results. In addition, the compressed package includes several groups of images that have been registered and to be fused, including infrared images and visible images, CT and MR images, and multi focus images. I also gave the necessary explanation to the code. Recommended download.)

基于图像特征的模板匹配算法的研究， 进行图像处理地子程序；(Template based on image feature matching algorithm for image processing to Subroutine )

图形处理，Visual C++图形编程技巧与实例源代码3(Graphics Visual C++ graphics programming techniques and source code examples 3)

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

CV水平集模型实现对图像的分割，收敛快，收敛效果优于GAC 模型。(CV levelset model to realize image segementation)

说明：  该书介绍的用VC实现图像处理，其中包括一些图像处理知识的介绍(The book described the realization of image processing using VC, including some knowledge of image processing introduction)

高光谱遥感图像模糊c均值聚类算法的matlab实现(hyperspectral remote sensing images fuzzy c-means clustering algorithm to achieve the Matlab)