teng-yg01

一种效果比较好的高光谱解混算法，模拟数据以及真实数据的实验都在，直接可以跑。(An effect good hyperspectral unmixing algorithm, experimental simulation data and real data are in, you can directly run.)

基于形态学的滤波算法，tophat算法的matlab源代码即图片(Filtering algorithm based on morphology, tophat algorithm matlab source code for the image)

这是一种很强的人脸检测程序，你可以试试，但我也不知是用什么方法。(This is a very strong face detection process, you can try, but I do not know in what ways.)

说明：  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)

RGB颜色空间转换为 YCbCr 和HSV空间，自己编写的matlab 代码，希望对打家有帮助。(RGB color space is converted to YCbCr and HSV space, have written matlab code, want to combatants spar in home help.)

以SIFT特征为目标输入，LDAHash方法进行降维实现目标识别(SIFT features input LDAHash method to reduce the dimensionality of the target recognition)

bandelet 去噪，包含blsgsm和平移不变去噪，不过对大图像需要的内存比较大(bandelet denoising, including blsgsm and translation invariant denoising, but for large images need more memory)

对图像变形的一些基本算法的介绍和功能的描述等 (about marphing )

：数字水印技术作为数字媒体版权保护的有效办法，近年来在国内外引起了人们极大的兴趣。作者采用了DCT离散余弦变换的算法，对图像这种多媒体数字作品进行了数字水印的嵌入和检测研究。并且使用了高效实用的编程工具MATLAB来介绍了一种DCT域的图像数字水印嵌入和提取的(BASIC_WM.M ..........................................cellauto.m ..........................................dctwatermark.m ..........................................detectbasic_wm.m ..........................................plotcorr_coef.m ..........................................wavedetect.m ..........................................wavedetect2.m ..........................................wavemarksvd.m ..........................................wavemarksvd)

图像分割是把图像划分成具有实际意义的互补交迭的区域的集合。在图像分割之前，图像区域的数目未知，而在分割后各个区域同时满足均匀性和连通性的条件，故图像分割是一个复杂的过程，目前大多数研究都是针对某一类型图像或者某一具体应用的分割。图像阈值化分割的基本思想是确定一个阈值，然后把每个像素点的像素值和阈值相比较，根据比较的结果把像素划分为两类，前景(1)或背景(0)。该方法的关键是确定一个最优的阈值。常用的阈值确定方法有直接门限法、类间最大方差法(otsu法)、分水岭算法、最小误差法、最大熵法等。该段代码就是图像的阈值分割。(The image segmentation is divided into the practical significance of the emerging area of complementary set. In the image segmentation, before the number of image region, the unknown, and after each area in division at the same time satisfy the uniformity and connectivity condition, so the image segmentation is a complicated process now, most research are for a certain type image or a particular application of the division. Image threshold segmentation of the basic idea is to determine a threshold, then put each pixel threshold value of the pixels and compared, according to the result of the comparison the pixel divided into two categories, the prospect (1) or background (0). This method is the key to determine an optimal threshold. Commonly used method to determine the threshold value of direct threshold method, the largest of the variance between method (otsu method), watershed algorithm, the minimum error method, the maximum entropy method, etc. When the code is image threshold segm)