hsv

基于sift算法的图像匹配的图像匹配处理程序(Sift algorithm for image matching image matching-based handler)

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)

说明：  细胞跟踪算法.文件中有细胞的运动模拟视频,说明文件.内容比较复杂,适合于研究生以上的研究人员揣摩.(Tracking Algorithm: Object Delineation Method Multiparticle.)

用c++编写的三维图像变换的源代码，也是计算机图像学中经常要学习的一种变换。(Transform the source code written in c++ three-dimensional images, but also often have to learn a transformation in the computer iconography.)

实现文章“Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries”中的降噪算法(Realize the article " Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries" in the noise reduction algorithm)

这是一款适用于初学者的应用程序,它可以帮助我们处理图形图像(This is a beginner for the application, it can help us to deal with graphic images)

fft去噪，及效果图。供大家参考！欢迎有需要的朋友下载参考(fft bianhuan)

本论文从CT图像重建原理入手, 根据迭代重建的物理意义, 从投影模型出发, 得到投影数据, 然后利用迭代算法MART 及SIRT 重建出断层图像, 再与模型相比较, 从而确定各算法的优劣, 总结出如何选择合适的图像重建算法。(Iterative Algorithms in Computed Tomographic Reconstruction)

说明：  改进拉普拉斯能量和的尖锐频率局部化 Contourlet 域多聚焦图像融合方法(Sum-modified-Laplacian-based Multifocus Image Fusion Method in Cycle Spinning Sharp Frequency Localized Contourlet Transform Domain)

一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章：Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)