CSBP_matlab_20130523130009

采用haar小波实现二维图像的分解与重构（mallat算法）：(Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):)

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

【实例简介】

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

孔径雷达图像固有的相干斑噪声严重降低了图像的可解译程度，影响了后续目标检测、分类和识别 等应用。因此，SAR图像的相干斑抑制问题一直是SAR图像应用的重要课题之一。一个理想的去斑算法应该在平 滑的同时保持图像的边缘等细节不受损失，目前存在各种各样的算法，但没有一种方法能够完美的满足这一要求。 本文对SAR图像的相干斑抑制问题进行了全面系统的研究，分析了相干斑的形成原因，总结了目前存在的相干斑 抑制算法的主要思路，介绍了具有代表性的算法，并对各种算法的性能进行了定性分析和比较，给出了去斑算法定 量评估方法(The inherent speckle noise of the aperture radar image seriously reduces the degree of interpretation of the image, and affects the detection, classification and recognition of the subsequent targets. And other applications. Therefore, the problem of speckle suppression in SAR images has been one of the most important topics in the application of SAR images. An ideal speckle algorithm should be flat At the same time, the details such as edges of images are not lost. There are various algorithms at present, but none of them can satisfy this requirement perfectly.)

运动目标检测的一些程序，包括帧差法、三帧差分法和混合高斯模型(Moving target detection procedures, including frame difference method, three difference method and Gaussian mixture model)

高光谱图像的读取程序，在matlab界面直接调用就可以(Hyperspectral image reading program in matlab interface can be called directly)

改进的 SUSAN 算法，用于自适应阈值的边缘检测(improved algorithm for the adaptive thresholding edge detection)

说明：  使用tensorflow框架搭建神经网络，从单目图像中估计深度值(Using tensorflow framework to build a neural network to estimate depth from monocular images)

陷波滤波器，可调节陷波频域位置，可调节陷波大小，函数，可直接调用，由高斯，理想，巴特沃斯组成。(notchfilter, which is suitable for digital image processing in frequency domain. Notch filter, adjustable notch frequency domain position, adjustable notch size, function, can be called directly, composed of Gauss, ideal, Butterworth.)