HDevelop

CVPR2013中出现的一种显著性特征检测算法，该算法用于模拟人眼视觉识别过程，提取图像中的显著性特征借后期目标对象的检测跟踪等使用，该算法(Context-Aware Saliency Detection。matlab implementation of an classical saliency detection alrogithm,which imitate our recognition process of eyes)

非常好的纹理分割，区域分割的matlab源代码，可用(Very good texture segmentation, region segmentation matlab source code can be used)

波束空间DOA的估计,从图中可以很好的看出角度的估计还是可以的。(Beam-space DOA estimation, from the figure we can see the point of a good estimate is still possible.)

说明：  对第一个源码修改后的9月10日的Matalb的基于Adaboost算法的车牌定位的源码！ 里面含有积分图像的获得，haar 特征的生成等。感兴趣的欢迎下载！(Source of the first amended September 10 of Matalb-based license plate location algorithm Adaboost source! Which contains points of access to images, haar generation characteristics. Interested welcome to download!)

连接边缘算法提取的孤立点，实现图像边缘连接(link the point to get edges in the image )

说明：  模板匹配，能够准确的找出与所给图像一致的目标。(Template matching, the ability to accurately identify the image with the given goal.)

matlab code for processing of signals and images

用Matlab来实现PCA，并分别求出图像在第一、二、三主分量上的投影。(Using Matlab to implement PCA, and images were obtained in the first, second and third principal component on the projection.)

一种新型的基于Tucker张量分解的高光谱图像降噪算法，性能优于传统的维纳滤波(a novel method based on Tucker decomposition for HSI denoising)

一种使用牛顿迭代的超分辨算法，该算法以2的对数提高传统Landweber算法的运算速度，附带文章。(The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations, thus necessitating efficient post-processing to achieve resolution improvements. A novel image super-resolution algorithm, Regularized-Newton-Residual (RNR) algorithm, is proposed for Passive Millimeter wave imaging (PMMW). First Newton inversion algorithm is introduced into the field of image restoration. The iterative scheme of Newton algorithm is deduced based on normal equation. Then, residual method is employed to achieve better performance and implement spectrum extrapolation. Experimental results demonstrate the algorithm is insensitive to noise distribution. Furthermore it has high super-resolution rate and fast convergence speed. )