zengqiang

该程序是一种最小均方误差滤波算法的matlab实现，主要应用于干扰对消方面(The program is a minimum mean square error filtering algorithm matlab realize, mainly used in interference cancellation)

一种新的改进的LBP特征提取方法，采用多块比较的方法(a new LBP feature extraction method)

* 说明: 该函数将对图象进行（成对函数匹配）操作。需要注意的是，此程序先要求对图像进行特征提取及形态学操作等，使其成为二值图像。(* Note: This function will be images (paired function matching) operation. Note that this procedure require image feature extraction and morphological operations, making it a binary image.)

根据Dalal提出的HOG特征算法编写，代码简单，注释清楚，根据所处理图像的名称路径修改后可生成36*105的特征向量。(The algorithm proposed by Dalal HOG feature writing code simple, clear annotation feature vector can generate 36* 105, modified according to the name of the image processing path.)

一种改进的快速加权中值滤波算法，较好的保留了图像的细节(Fast weighted median filtering algorithm, an improved and better retain the image details.)

滤波的方法有很多，其中小波滤波很实用，提出了一种二进小波变化的算法。(There are a lot of filtering method, the wavelet filter is very practical, this paper proposes a binary wavelet algorithm.)

基于小波分解重构的图像去噪程序 请多指教(Based on wavelet decomposition and reconstruction of image denoising program please enlighten)

Canny边缘检测算法,已经试过，可以用。能较好的检测边缘。(Canny edge detection algorithm, has been tried, you can use. To better edge detection.)

图像倒频谱生成并分析，可以用于运动模糊图像的PSF参数估计(Cepstrum image generation and analysis, can be used for motion-blurred image PSF parameter estimation)

Image segmentation systems have the potential to dramatically improve the performance of Digital image processing. Segmentation procedures partition an image into its constituent parts or objects. In general, segmentation is one of the most difficult tasks in digital image processing. Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. This problem can be tackled by mapping the pixels into various feature spaces, which are subjected to various grouping algorithms It present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image.