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图像压缩相关代码，基于小波域的矢量量化算法实现图像编码功能(Image compression code image coding, wavelet-based vector quantization algorithm)

meanshift算法，及其在图像处理方面的应用(meanshift algorithm)

图像金字塔分解，输入一幅图像，以及需要分解的层数，可以输出图像的金字塔分解(Image pyramid decomposition)

图像分割，双峰法.显示直方图，根据直方图确定阈值，并根据次阈值进行图像的风格(segmation)

本算法主要采用变分贝叶斯求解图像忙恢复问题。(This package contains implementations of the MAP_k blind deconvolution algorithms described in the paper "Efficient Marginal Likelihood Optimization in Blind Deconvolution" Levin, Weiss, Durand and Freeman, )

此程序是关于图像分割技术，用分水岭和suan算子对细胞图像进行分割，并对细胞进行计数和统计。算出细胞个数和细胞面积。(This program is about image segmentation, watershed and suan operator with the cell image segmentation, and cell counting and statistics. Calculate the cell number and cell size.)

实现图像的锐化浮雕等效果。当然，这是我自己弄了很多次之后的。我也忘了它实现的是什么效果了，反正就是大概图片处理一类的。(To achieve the effect of image sharpening and other relief. Of course, I get many times. I also forget to realize what effect, anyway, is about image processing class.)

计算局部形状描述符梯度方向直方图（HOG），直接输入图像即可用。(Calculate the local shape descriptors gradient orientation histogram (HOG), the input image can be used directly.)

基于图像处理的人脸检测系统，通过openCV软件来实现的(Image processing based face detection system, implemented by software openCV)

提出了一种基于图像边缘连接的线段检测方法。数字图像中的线段是由很多线段图元组成,在同一 条线段中,它们的方向是相同的并且受到真实线段的方向约束。因此可以通过提取小的线段图元, 然后分析它们 的连接特性, 进行线段的检测。首先用ADM 算法对图像进行边缘检测, 得到单像素宽的边缘 然后在4 个方向上 进行线段的检测 对初步得到的结果进行合并和验证, 去掉短的线段, 连接临近的线段。经过实验证明, 该方法能 够快速地提取图像中的线段,并且对噪声具有一定的鲁棒性(A line segment connecting a detection method based on image edges. The segment of the digital image is composed by many segments elements, their orientation is the same and by the real line segment direction constraint in the same segment. By extracting a small segment Element can then analyze their connection characteristics for the detection of the line segment. First with ADM algorithm for edge detection on the image to obtain a single-pixel-wide edge then in the four directions on the detection of the line segments merger and verification of the preliminary results obtained, removing the short line segments, the line segments connected near. The experiments show that this method can quickly extract the line segments in the image, and certain robustness to noise)