DelTilt

图像处理基本算法其中之一的图像细化(Image processing one of the basic algorithm for image thinning)

Sobel算子边缘增强算法，利用梯度下降原理边缘化图象(Sobel operator enhancement algorithms, using gradient descent principle marginalized image)

说明：  噪声估计法，先定位噪声点，再实行去噪处理(Noise estimation method, first locate the noise points, then implement denoising.)

这是一个印度人编的程序，用于两图像单应矩阵和变换结果的求取(This function estimates 2D-2D plane projective homography between two perspective images using Direct Linear Transformation, RANSAC and Levenberg Marquardt optimisation.)

能够计算傅里叶描述子，并对图像进行重构，实现对目标图像和源图像的辨认(Fourier descriptors can be calculated, and the image reconstruction, image and the source image to target identification)

晨宇思远博客的代码------文件中代码实现小波图像融合，对低频和高频系数采用不同准则，有详细说明文件中代码实现小波图像融合，对低频和高频系数采用不同准则，有详细说明( morning yu siyuan blog code----------- file code implements wavelet image fusion, the low frequency and high frequency coefficient using different criteria, there are detailed description file code implements wavelet image fusion, the low frequency and high frequency coefficient using different criteria, there are elaborate)

遥感图像时空融合，朱孝林博士的作品，可以参考学习(Space-time Fusion of Remote Sensing Images, Zhu Xiaolin)

【实例简介】图片转PDF

说明：  tiff图像的读取与处理，并且说明清新，有很大的帮助。(The reading and processing of the tiff image, and the description of the fresh, is of great help.)

针对粒子概率假设密度(PH D)滤波算法在虚警、漏检情况下，b标状态估计不稳定和b标可观测性车弱的问题，提出了一种基于序贯融合的粒子PH D滤波方法，利用雷达和红外传感器多目标进行融合跟踪杏基本思想是先对红外传感器进行粒子PH D滤波，丙将红外传感器滤波结果作为雷达的预测值，然后利用P达观测的数据进行更新，这样通过雷达和红外传感器交替上作保证目标状态的可观测性，从滤波器输出结身即可得到目标的状态信息仿真结果表明，在虚警、漏检和密集目标环境下，该方法是有效的和稳健的(The problem of target state estimation instability and observability weakerin the presence offalse alarms and missed detection was deal with. On the basis of sequential fusion, a particleprobabil- ity hypothesis density(PHD) filter for multrsensor multrtarget tracking was proposed. Observed da to collected from the infrared sensor was estimated with the particle PHD filter. Then the results from the filter were set as the radar predicted value by the radar observations. The multrtarget state can be updated to guarantee observing the target state. In this way, the global state is updated at the fusion center. Simulation results show that the proposed algorithm is effective and robust under the false warning, omission and concentrated target environment. )