HEs

说明：  本人自己编写的用matlab实现彩虹程序，(I have written with matlab Rainbow realize procedures,)

用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)

图像检测，目标检测简单来说就是找出图像中的目标并给定目标的位置，一般用矩形框定位出目标(In image detection, target detection is simply to find out the target in the image and give the location of the target. In general, the rectangular box is used to locate the target)

用Visual C编的用于语音的频频谱的检测，能显示出来语音的频谱图。 (Visual C series of the spectrum for voice detection, displayed the frequency spectrum of the voice.)

一个用于电子显微镜下运动细胞的识别跟踪的源代码，出自哈佛医学院的一位教授，对于做物体运动识别估计的各位很有帮助！(Under an electron microscope for cell identification and tracking movement of the source code, from a professor at Harvard Medical School, for the movement of objects do you identify the estimated useful!)

说明：  根据：一种可识别破碎图形的特殊广义Hough变换方法 论文，在matlab上做的实验源码，有模版生成，广义哈夫变换代码(In accordance with: A broken identifiable graphics special generalized Hough transform methods papers, in matlab to do experiments on the source, there are template generation, generalized Hough transform code)

说明：  Kylberg Sintorn数据集可用于进行算法的旋转不变测试，然而官网中并没有直接划分训练集与测试集，本代码对该数据集的图片进行重新命名与划分，可用于算法测试中(The Kylberg Sintorn dataset can be used to perform the rotation-invariant test of the algorithm. However, the official website does not directly divide the training set and the test set. This code renames and divides the picture of the dataset, which can be used in algorithm testing)

Matlab 实现的带阻滤波器设计。基于高斯带阻滤波器。实现冈萨雷斯《数字图像处理》第五章的实例。(Matlab implementation of the band stop filter design. Based on Gaussian band-stop filter. Achieve Gonzalez, " Digital Image Processing" Chapter V of the instance.)

该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

sift特征点检测及图像拼接，matlab7.0实现的，我从别人那里整过来的，测试的话，用在matlab里面直接调用match( b1.jpg , b2.jpg )即可，我测试成功，里面也有说明文档，为了科研，共享，希望大家有好的代码都0分共享，与己方便，与人方便，中国科研才会发展更迅速(sift feature point detection and image stitching of, matlab7.0 realized, I come from others where the whole test, used in matlab inside direct calls to match (' b1.jpg' , ' b2.jpg' ) can I test success, which also has documentation, in order to research, share, and hope everyone has a good code sharing, and has convenient, and accommodating, the more rapid development of China' s scientific research will)