matlab-TE-fault1

说明：  用于三维空间坐标系变换的7参数模型，在设计坐标系变换的各行业应用中用的最多，从数学角度来说也是最严密的转换方法。 由于结果中最多可求得七个转换参数，即三个平移参数、三个旋转参数(Ex、Ey、Ez)和一个尺度缩放因子(m)，因此，通常也被称为七参数法。 (Three-dimensional coordinate system transformation for the 7 parameter model, coordinate system transformation in the design of applications using the most, the industry, from the mathematical point of view, the conversion is the most rigorous methods. Since the results can be obtained up to seven transformation parameters, ie three translation parameters, three rotation parameters (Ex, Ey, Ez) and a zoom scale factor (m), therefore, often referred to as seven-parameter method.)

主要用于打开8位、24位BMP图像，并对其进行相应的处理，如：颜色分量提取，检测等(key to open the eight, 24 BMP images, and its corresponding treatment, such as : color component extraction, testing)

利用遗传算法进行图像分割的源程序.基于matlab平台,适合于一维和二维分割.(using genetic algorithms for image segmentation of the source. Matlab-based platform, in a fit- and two-dimensional segmentation.)

本程序实现医学图像的增强，实验显示，处理后的医学图像轮廓清晰，可识性较好。(This procedure to achieve medical image enhancement, experiments showed that the treated medical image outline a clear, identifiable better.)

说明：  掌纹roi提取 掌纹图像处理 图像分割(Extraction of palmprint roi)

画图源程序-图像数据显示，可以对数据进行时间轴的曲线显示，也可以是空间轴的多维显示 (Paint source- the image data, the data can be curve shows the time axis, it can be multi-dimensional display space axis)

自己编写的粒子滤波程序，请用户自己添加视频测试(Their own procedures for the preparation of the particle filter, please add the user' s own Video Test)

该文件包含高斯高通滤波的源代码和高斯低通滤波的源代码，可以运行，效果很好(Gaussian high-pass filter Gaussian low-pass filtering )

图像着色处理，对于不同亮度的图像显示不同颜色，应用于水下声纳图像效果比较好。(Image color processing, to the image shows different colors of different brightness, applied to the underwater sonar image effect is better. )

第8章 图象的检测及模板匹配 图象的分割与检测(识别)实际上是一项非常困难的工作。很难说清楚为什么图象应该分割成这样而不是那样。(Chapter 8 Detection of image template matching and image segmentation and detection (recognition) is actually a very difficult task. It is hard to say clearly why the image should be divided into such and not as.)