im_smooth

利用小波变换的去噪程序！和中值滤波进行对比！(The use of wavelet transform denoising procedure! And median filtering comparison!)

说明：  MATLAB转化大地坐标与球坐标之间的转化，，其中包含了空间直角坐标系与大地坐标系的转化(Matlab transformation of geodetic and spherical coordinates)

图像 自动 标注 通过分析 训练集 ，学习 图像 和标注词 之间的关系，得出 之间的关系，得出 一些规则， 然后使用这些规则 自动 推导出 图像 最适合的标注词 ，这些标注词代表了图像的 ，这些标注词代表了图像的 高层 语义信息 。(Automatic image annotation by analyzing the training set, learning image and mark the relationship between words, the relationship between the draw, draw some rules, and then use these rules to automatically derive the most suitable image annotation words, these words represent the image annotation , these words represent the image annotation level semantic information.)

说明：  裁剪图像为固定大小，非常简单，只需要设定图像裁剪起始位置以及图像裁剪大小即可，非常方便。(It is very simple to crop the image to a fixed size. It is very convenient to set the starting position and size of the image clipping)

实现肺实质初始分割及采用滚球法（形态学开运算）进行修补肺实质轮廓凹陷。(Achieve initial segmentation and the use of the pulmonary parenchyma ball method (morphological opening operation) to repair the lung parenchyma contour depression.)

基于肤色的人脸检测matlab程序，已经过调试，实现了人脸的检测，且检测准确率高(Face detection based on skin color matlab program, has been commissioning to achieve a human face detection, and the high rate of detection accuracy)

能量熵的计算，FMCW调频连续波雷达的测距测角，完整的图像处理课设，包含所有源代码，汽车图像。( Energy entropy calculation, FMCW frequency modulated continuous wave radar range and angular measurements, Complete class-based image processing, contains all of the source code, auto image.)

说明：  基于matlab的五种图像处理边缘检测算子(Five image edge detection methods based on matlab)

有关彩色图像分割与复杂场景下目标跟踪方法研究的一篇博士论文(On the color image segmentation and complexity of the scene target tracking methods under study for a Ph D thesis)

对清晰图像加模糊并用时域和频域的方法分别实现对模糊参数的估计并将图像复原（其中用频域的方法实现对模糊角度的估计）(Clear picture of the additive fuzzy and time-domain and frequency domain methods, respectively, to achieve the estimated fuzzy parameters and image restoration (including the method used to achieve frequency domain point of view of fuzzy estimates))