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用matlab语言编写的lab图像水印源代码 可以进行图像的嵌入与提取(Using matlab language lab Image Watermarking source code can be embedded in images and extract)

批量读取tiff影像并计算月份NDVI最大值(use matlab to read tiff and calculate NDVI)

互信息和梯度相结合的图像配准算法，在配准中引入了图像的空间信息(Mutual information and gradient combination of image registration algorithm, the introduction of registration in the image of the spatial information)

计算图像的几何不变矩—Hu矩，以及图像的相似度，在vc下实现。(Calculate the geometric image invariant moments-Hu moments, as well as the similarity of the image, achieved under vc.)

本程序用C语言在LSB上添加水印。最低有效位(LSB)是给这些单元值的一个二进制整数位位置，就是，决定是否这个数字是偶数或奇数。LSB有时候是指最右边的位，因为写较不重要的数字到右边位置符号的协定。它类似于一个十进制整数的最不重要的数字，它是在一个(最右边)位置的数字。(This program in C language to add a watermark on the LSB. The least significant bit (LSB) is a binary integer position to the value of these units, that is, to decide whether this number is even or odd. LSB is sometimes referred to as the rightmost bit, write a less important figure to the right location symbol Agreement. It is similar to the most significant digit of a decimal integer, it is the number in a (far right) position.)

说明：  Forstner算子提取特征点 Forstner算子 提取特征点 (Forstner operator extracting feature points Forstner operator extracting feature points)

易语言动画地图编辑器源码，易语言写的图形图像编程，很好的参考。(Easy language animated map editor source code, easy graphic language programming, a good reference.)

利用jpda算法进行目标的跟踪仿真，给定目标的起始位置和运动速度，自动添加杂波，输出定位后结果(To utilize jpda algorithm for target tracking simulation, to the starting position and velocity of the target, and automatically add clutter, output positioning result)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

说明：  对图像进行细化和提取骨架操作，还是那句话，绝对原创(read an image and proccessed with matlab to get its skeleton and the result of thin)