FCM

对圆形物体图像进行图像边缘检测，图像分割，检测及圆拟合(Images of circular objects in image edge detection, image segmentation, detection and circle fitting)

文章对比分析了火焰不同的形状结构特征，及其特征组合对火焰检测有效性的影响，提出了一种融合圆形度、矩形度和重心高度系数的火焰检测算法，然后将融合后的火焰特征输入支持向量机(SVM)中进行分类( Based on fusion of these flame features，the support vector machine (SVM) is used for classi- fication． Experimental results on the fire videos at Bilkent University show that the proposed algorithm is efficient and fast for fire detection，and it could detect fire real-time under a variety of circumstances．)

说明：  多目标跟踪，动态背景下实现多目标跟踪算法，算法优良，实时性和鲁棒性都比较好(Tracking, dynamic context to achieve multi-target tracking algorithm, algorithm quality, real-time and better robustness than)

这个实例就像一个魔镜一样，能把原始图像照出各种变换效果,是基于MFC的多文档应用程序(This example is like a mirror,which can convert original image according to a variety of effects)

ENVI4.7及以上版本和IDL7.1以上版本,将高光谱遥感图像进行Savitzky-Golay光谱平滑滤波(ENVI4.7 above and IDL7.1 and above, hyperspectral images Savitzky-Golay smoothing filter spectrum)

利用小波实现图像的融合，从两幅模糊的原始图像中回复出原来的图像(Using wavelet analysis for a given image enhancement processing, after the decomposition of image, contour by the low frequency part representation, characterization details with high frequency part. )

双目立体视觉，采用两张图像恢复三维形状，外国人的一个开源项目。(System Prototype to make 3D reconstruction solution using stereo images. It works with common cameras and not require large amount of memory during the images processing. It provides a low cost solution to educational environments with low budgets. )

“一种用于夜间图像增强的算法”包括原文和程序实现并附有图像。其中‘ye’图效果最好。(A method for the night image enhancement algorithm, including the original and the program along with the image. Figure‘ye’the best.)

说明：  matlab图像配准算法，确定归一化互相关最大值及其位置，利用相关找到的偏移量，判断两幅图是否相同。(MATLAB image registration algorithm determines the maximum normalized cross-correlation and its location, and uses the offset found by correlation to determine whether the two images are the same.)

三个很好的程序，有染色体的识别，车牌跟踪，还有神经网络设计，肯定是非常好的，希望大家从中学习(Three very good procedures, there are chromosome recognition, license plate tracking, as well as neural network design, is certainly very good, I hope you learn from)