YUV2Image

说明：  有注释的粒子滤波程序。粒子滤波(PF: Particle Filter)的思想基于蒙特卡洛方法(Monte Carlo methods)，它是利用粒子集来表示概率，可以用在任何形式的状态空间模型上。(Annotated particle filter program. Particle filter (PF: Particle Filter) Monte Carlo method based on the idea (Monte Carlo methods), which is set to represent the probability of a particle can be used in any form of state space model.)

一些matla实现的图像处理算法，有emd,和BEMD分解的程序，及图像去噪等算法。(Some matla realize image processing algorithm, emd, and BEMD decomposition process, and image denoising algorithm.)

说明：  火灾预警系统，实现火焰的特征提取，结合SVM分类算法(Fire early warning system, to achieve the feature extraction of flame, combined with SVM classification algorithm)

考虑了角加速度的飞机isar成像，进行转台模拟。(Consider the angular acceleration of the aircraft, isar imaging turntable simulation.)

一种像素级指纹方向场估计算法以及对应的像素级奇异点检测算法。(A pixel-level orentation field estimation algorithm and the corresponding singular point detection method.)

数字图像处理，边缘提取，分割，湖面面积计算matlab程序(Image processing, edge detection, segmentation, the lake area)

基于遗传算法的图像增强代码，亲测好用，值得下载(Based on the genetic algorithm image enhancement code, pro-measurement easy to use, it is worth downloading)

说明：  图像分割，还可以，kmeans聚类的方法。k-means算法是一种聚类算法，所谓聚类，即根据相似性原则，将具有较高相似度的数据对象划分至同一类簇，将具有较高相异度的数据对象划分至不同类簇。(K-means algorithm is a clustering algorithm. The so-called clustering is to divide data objects with high similarity into the same class cluster and data objects with high dissimilarity into different class clusters according to the similarity principle.)

C++Builder编写的图象处理程序(带示例)(C++ Builder prepared image processing procedures (with examples))

说明：  图像分割指把图像分成各具特性的区域并提取出感兴趣目标的技术和过程，它是由图像处理到图像分析的关键步骤。小麦的图像分割是使用各种图像分割算法对小麦图像进行处理和研究，提取出有用的图像信息以实现小麦粘连籽粒的分离，为进一步利用图像处理技术分析小麦品质提供依据。因此，对小麦图像分割方法的研究具有十分重要的意义。 本文首先研究了图像分割算法的分类以及常用图像分割算法的基本原理。然后针对小麦图像的特点，研究了在不同光照、背景和连接情况下使用的小麦图像分割方法，对各种分割算法进行了比较、结合和改进。重点研究了基于小波变换的分水岭算法和阈值分割算法在小麦图像分割中的应用，并借助MATLAB工具软件对选定图像进行处理，实现了对小麦粘连籽粒的分离。最后本文对图像分割技术进行了展望。 本论文的研究对于图像分割技术在小麦品质中的应用具有一定的参考价值。 (Image segmentation is a technology and process that divide image into different character area, which is interesting us. It is a key step from image processing to image analyzing. The wheat image segmentation is a way using many algorithms does some research and processing, and it also can realize the separation of wheat adhesion and realize the extraction of useful image information. So it can lay the foundation for using image processing technologies to analysis the quality of the wheat. there is a very important meaning for the research of the image segmentation method. This paper studies the class and the principle of segmentation algorithm in common use firstly, then, studies the wheat image segment algorithm with different illumination background. It contrasts kinds of algorithms, and improved them. This paper is based on wavelet transform, and combines with the watershed algorithm and the threshold segmentation method. Using the MATLAB software, does some process on the wheat i)