fft

用差分盒维数处理图像，通过对图像分块，然后每一块来计算该区域的分维数，将其作为该区域所有像素上每一像素的分维数。然后，增强分维数分布图效果，然后取阈值，最后，给人造目标加框。(Differential box counting process the image, the image block, and then every one to calculate the fractal dimension of the region, as all the pixels in the region of each pixel on the fractal dimension. Then enhanced fractal dimension distribution effect, and then take the threshold, and finally, to the man-made objects framed.)

贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络(Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks)

用AAM算法进行人脸特征点的标定，即对人脸的眼睛，眉毛，嘴巴，鼻子及脸的轮廓进行标记，此代码标记了68个特征点。(AAM algorithm for facial feature points calibration, calibration of this code is the 68 feature points, see the instance document.)

摄影测量单独法相对定向源代码的编写，结构较简单，易懂(relative oriention)

Matlab源代码：利用有序抖动算法（Bayer矩阵D4和D8）生成二元图像；利用误差扩散算法（Floyd-Steinberg filter）生成二元图像。(Matlab code using the ordered dithring (Bayer D4 and D8 matrix) to generate the binary images Matlab code using the error diffusion algorithm (Floyd-Steinberg filter) to create a binary image)

图像边缘检测,运用各种算子,压缩包中保存了各种算子算法后的效果图(MATLAB Image corrosion expansion, not the kind of statement directly)

求一个图像的最大内接矩形面积。 步骤： 1.相机标定。首先根据物像关系式求出其中的参数。注意参数求出后要进行参数校验。 2.从背景中分离出目标 3.边缘检测 4.目标形状参数计算。(For an image of the largest inscribed rectangle area. Steps: 1. Camera calibration. First of all object-image relationship in accordance with the parameters obtained. Attention to the parameters obtained after parameter calibration. 2. From the context of isolated target 3. Edge detection 4. Target shape parameters.)

MATLAB实现gabor滤波器，程序默认为5个尺度，8个方向。(MATLAB realization gabor filter, the program defaults to 5 scale, eight directions.)

当前流行的机器学习算法之一：boosting的变体——Gentleboost(The current popular one of machine learning algorithms: boosting variants- Gentleboost)

能够很好的实现车牌定位的matlab源程序.但是不能实现车牌字符分割(Able to realize a very good source matlab plate positioning. But not license plate character segmentation)