Butterworth

用MATLAB做的BP神经网络,能识别简单的图象(do with MATLAB BP neural network can recognize simple images)

体视化引擎创建了整洁的结构，并给出一个GUI调用的实例。(Volume Visualization Engine to create a neat structure, and give examples of a GUI calls.)

应用sift算子进行图像匹配，效果不错。。。(sift is used to match two picture，the result is good...)

introduction to matlab is discussed here

说明：  Function files in MATLAB for the calculation of strains and stresses for a lamina with a given arbitrary fiber orientation and given values of material data in the principal material directions.

controls light is a house

一个多目标跟踪的matlab代码，里面附有说明文档。其中背景差分法可以实现实时更新。该代码在检测与跟踪少量目标时效果很好，但是跟踪目标大于8后，效果下降很多(A multi-target tracking matlab code, which accompanied by a document. One of the background difference method can achieve real-time updates. The code detection and tracking at the time a small number of very good goal, but follow-up after the goal is greater than 8, the effect of decline in a lot of)

说明：  人脸识别代码：图像工程中经常用到的一个实用算法。这里是matlab的实现。(Face recognition code: Image Engineering frequently used for a practical algorithm. Here is the realization of matlab.)

说明：  算差分盒维数的matlab程序。 让窗口中的每个像素都对分数维作出贡献。首先,计算某一尺度窗口的平均灰度值 ,然后判断每一个像素的灰度 ,若大于灰度平均值 ,则累加其灰度值为 max ,若小于灰度平均值 ,则累加其灰度值为min ,用max 和min代替 在 Sarkar 和 Chaudhuri 算法中的最大值和最小值 ,再通过拟合求出分数维。 (Differential count box dimension matlab program. Let window on the fractal dimension of each pixel to contribute. First, the calculation of an average gray scale of the window, and then determine the gray scale of each pixel, if the intensity is greater than the average, the cumulative value of its gray max, if less than the average gray level, the accumulation of its gray value of min, max and min to use instead of the algorithm in Sarkar and Chaudhuri maximum and minimum, and then by fitting the calculated fractal dimension.)

BP神经网络解决异或问题,用VC可以打开浏览!也可与MATLAB接口使用.(BP neural network solutions differences or problems, with VC can open here! Also with the use of MATLAB interface.)