MatlabImageRetrieval

用PHD滤波的方法实现多目标跟踪，及对PHD滤波性能的检测。(PHD filter method using multi-target tracking, and performance testing for the PHD filter.)

视频图像序列中分的运动目标检测matlab源码，分割运动目标(carve the moving target detection Matlab source, Moving Target Segmentation)

多目标遗传算法，很好的源代码，实现多输入多输入参数条件下的最优化(Multi-objective genetic algorithm, a very good source code, achieve multiple-input multiple-input parameters optimized under the conditions of)

对图像进行伽马校正，可以有效提升图像 亮度和对比度，低于低照度图像现在小于1的参数，对于高亮度的图像选择大于1的参数可以有效调节图像亮度。(Gamma correction can effectively improve the brightness and contrast of the image. The parameters lower than the low illumination image are less than 1. For the high brightness image, the selection of parameters greater than 1 can effectively adjust the brightness of the image.)

该工具箱可实现matlab编程和zemax通信，同时借助于matlab 强大的编程能力以及zemax的光学设计能力，为光学领域工作的科研人员提供了新的途径。(This program can realize the communication between the matlab and zemax, very helpful for optical engineer and student whose major in optical science.)

rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记(rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark)

彩色图像的arnold图像置乱和logistic混沌序列的图像加密程序matlab源码(Color image of arnold image scrambling and logistic chaotic sequence of image encryption program Matlab source)

生成拉盖尔函数、缔合拉盖尔函数，并根据这两个函数的解析表达式画出若干个拉盖尔-高斯光束模型(Generation of Laguerre functions, associative Laguerre functions, and according to the analytical expression of these two functions to draw a number of Laguerre- Gaussian beam model)

说明：  halcon检测封闭胶圈，halcon12版本(Halcon detection of closed aprons)

根据RBM深度网络（Hinton，2006）进行MINST手写文字的分类器的训练，利用训练得到的权值制作了这个小程序，通过这个程序可以看出训练结果对数据集内的测试样本和训练样本都能进行很好的识别，但是对其他的手写字体识别就没有那么好了。(According to RBM depth network (Hinton, 2006) conducted MINST handwritten text classifier training, using the training to get the right value to produce this small program, this program can be seen through the results of the training data set and the training sample test samples are can be well identified, but on the other handwriting recognition is not so good.)