parallel_algorithm_of_wavelet

粒子滤波算法比较,不同的建议分布下，粒子滤波的性能差异，包括精度与时间(the comparision)

冈萨雷斯数字图像处理第二版中的tofloat函数，原书配带的函数式p文件，此处已经转为M文件。(Gonzalez Digital Image Processing Second Edition tofloat function, a function of the original book equipped with p-type documents, here has been converted to M-file.)

1.从图像中识别几何形状的基本方法；基本原理是在于利用点与线的对偶性，将原始图像空间给定的曲线通过曲线表达形式变为参数空间的一个点，这样就把原始图像中给定的检测问题转化为寻找参数空间的峰值问题。 2.基于Gabor变换的人眼检测MATLAB实现。 3.基于Radon的车牌矫正方法。 4.基于模型函数headata产生不同大小的头模型数据。 5.基于函数wdcbm2()设置图像分层阈值压缩参数，实现图像压缩(The basic method of identifying geometry from the image; the basic principle is to use point and line duality, the original image space curve given expression through the curve into a parameter space of a point, so the peak detection problem is given in the original image is transformed into searching the parameter space.)

说明：  对图像目标识别和提取，主要通过改进非线性阈值分割实现(For image target recognition and extraction, the main method is to improve the non-linear threshold segmentation.)

mean-shift跟踪算法中核窗口大小的自动选区(mean-shift tracking algorithm in the size of the nuclear window automatically constituency)

说明：  相机是将三维世界坐标系中的坐标点映射到二维图像平面的过程能够用一个几何过程描述，最简单模型称为针孔模型。 因为相机镜头透镜的存在，使得光线投影到成像平面过程中产生了畸变。(Camera is the process of mapping coordinate points in three-dimensional world coordinate system to two-dimensional image plane, which can be described by a geometric process. The simplest model is called pinhole model. Because of the existence of camera lens, the light rays are distorted when they are projected onto the image plane.)

基于小波变化的边缘检测程序 matlab的m代码 效果不错(Wavelet transform edge)

说明：  基于场景的RLS的非均匀校正算法，不同均值滤波器比较。(Scene based RLS nonuniformity correction algorithm, different mean filter comparison.)

颜色、形状、纹理特征提取算法及应用,各种方法都有，很有用。(Color, shape, texture feature extraction algorithms and applications, various methods are very useful.)

说明：  脉冲压缩技术是匹配滤波理论和相关接收理论的一个很好的实际应用。它的提出很好的解决了这样的一个问题：在发射端发射大时宽、带宽信号，以提高信号的速度测量精度和速度分辨力，而在接收端，将宽脉冲信号压缩为窄脉冲，以提高雷达对目标的距离分辨精度和距离分辨力(Pulse compression technology is a good practical application of matched filtering theory and related receiving theory. It solves such a problem very well: transmitting large time-width and bandwidth signals at the transmitter to improve the speed measurement accuracy and speed resolution of the signal, and compressing the wide pulse signal into narrow pulse at the receiver to improve the range resolution accuracy and range resolution of radar to target.)