RS

说明：  Kirsch算子边缘检测代码，计算了八个方向的梯度值(Kirsch operator edge detection code)

一种基于背景减法和帧差的运动目标检测算法(Based on background subtraction and frame difference moving target detection algorithm)

C# 旋转图片并显示 RotateFlip 实例

实现遥感图像的高斯白噪声去噪，出现不同模板的去噪效果。(Gaussian white noise, noise removal, remote sensing images, different templates denoising)

基于压缩感知的图像加密算法，稀疏基用的是小波，重构用的是OMP(Compressed sensing image encryption algorithm)

利用灰度积分投影直接对输入的人脸图像进行检测，并进行眼睛的定位(Using gray integral projection directly on the input of face image detection, and eye location)

SIFT，即尺度不变特征变换（Scale-invariant feature transform，SIFT），是用于图像处理领域的一种描述。这种描述具有尺度不变性，可在图像中检测出关键点，是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议（International Conference on Computer Vision，ICCV），2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision（IJCV） 。截止 2014 年 8 月，该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

该代码用于在视觉智能监控/视频监控/视觉监控/视频智能监控中，消除阴影。阴影消除对视频监控具有重要的意义，能够有效地降低阴影对目标检测的影响，减小误检率和漏检率，提高对目标的识别效率以及监控系统的稳定性和可靠性。(This code is used to remove shadow in visual intelligent surveillance/video surveillance/visual surveillance/video intelligent surveillance. Shadow removal plays a important role in video surveillance. It reduce the affection of shadow in object detection, decrease false detection rate and missing rate, and improve the stability and reliability of surveillance system.)

指纹灰度图像的matlab代码，文件附带指纹图像(Gray-scale fingerprint image matlab code, documents attached to the fingerprint image)

利用matlab实现图像处理里的实现图像边缘检测、图像分割、特征提取以及图像数字识别等任务。 对图像分别进行模糊、锐化、和直方图均衡化处理，画出处理结果。实现整幅图像的边缘检测，可以看出有肖像画或素描的效果，画出处理结果。(Matlab realize image edge detection in image processing, image segmentation, feature extraction and image numeral recognition task. Fuzzy image sharpness, and histogram equalization paint treatment results. The whole image edge detection, portrait or sketch effect can be seen the paint treatment results.)