adaptivethreshold

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

sift算法具有旋转不变性 提取的特征点效果非常的好 用于图像配准中

关于包络跟踪测试解决方案的说明。介绍了所需的相关仪表以及之间的同步通信(Envelope Tracking)

给出几种形态学梯度算法，包括但尺度梯度，多尺度梯度，多结构元素梯度等(Several morphological gradient algorithm is given, including, but gradient-scale, multi-scale gradient, multi-structural elements, such as gradient)

一种精确地二维图像配准方法，实现亚像素的配准。(An accurate two-dimensional image registration method to achieve sub-pixel registration.)

ant蚁群算法,求解局部或者全局优化问题,(Ant colony algorithm to solve local or global optimization problems,)

说明：  对用声级计测得的交通噪声级进行分析和处理，包括图形的显示(Right to use sound level meter measured the traffic noise level of analysis and processing, including the graphical display of)

说明：  雷达发射波形。回波的模拟，以及匹配滤波。加窗控制旁瓣，以及MTD处理(Radar transmitting waveform. Echo simulation and matched filtering. Windowing control sidelobe and MTD processing)

说明：  实现多视两幅图像的surf特征点提取与匹配(Achieve surf feature point extraction and matching of two multi-view images)

在图像分割中，FCM作为一种高效的分割方法收到广泛应用，FILCM分割算法是FCM算法的一种改进算法。(In image segmentation, FCM is widely used as an efficient segmentation method, and FILCM segmentation algorithm is an improved FCM algorithm.)