资源列表
threholdingwaveletdenoising
- 简单的利用硬阈值函数、软阈值函数、半软阈值函数、软硬阈值折中函数、指数型阈值函数对图像进行去噪处理,并求得各自的mse和psnr-Using the hard threshold function, soft thresholding function, semi-soft threshold function, hard and soft threshold tradeoff function, exponential threshold function to denoise, and ca
gradient_-method
- 数字散斑相关计算中,亚像素位移检测,梯度算法-sub-pixel, gradient method,DSCM
face-recog.
- 关于人脸识别的毕业论文,基于CVI平台,包括特征匹配等-Thesis on face recognition based CVI platform, including feature matching, etc.
face--recognization
- 人脸识别源代码,利用肤色分离方法提取人脸区域-Face recognition source code, the use of color separation method to extract facial area
HOG
- 方向梯度直方图,计算一副图像的方向梯度直方图表示,图像由直方图表示-Histogram of oriented gradient
pointmatch
- 利用点提取算法和相关系数法进行影像匹配,即在两幅影像之间识别同名点-Extraction algorithm and the use of the correlation coefficient method for image matching, ie, between the two images of the same name recognition points
ZHONGBIAOFENGEG
- 读取图片,分割出敢兴趣区域,用到同态滤波,形态学,连通域,以及hough圆检测等算法。-Read images, segmented m interested in the area, the use of homomorphic filtering, connected domain, morphology, hough circle detection algorithm
CSAlgorithm
- 基于压缩感知理论,对同一256*256的lena图像分别用BP,OMP,StOMP进行处理,并作出比较,评价标准主要有PSNR,压缩率和运算时间-Based on compressed sensing theory, the same lena image 256* 256 respectively BP, OMP, StOMP processed and compared, the evaluation criteria are mainly PSNR, compression ratio a
Binarization
- 图像二值化是建立在物体和背景可以区分的基础上的,如亮度色调等不同,从而我们根据这些已知信息分出前背景。而一般的全局二值化如用Otsu方法获取最优阈值的方法,都是建立在图像前背景亮度有一定差距的基础上的,即图像直方图有双峰结构。 如果对于一幅亮度不均匀的图像这种方法就不适用,解决的方法可以把图像根据整体亮度变化来分成若干小区域,而各区域的直方图中有两个峰,这样就能自适应得时整幅图都比较好的二值化。但是,这样对于一些复杂的图像就难处理,而且可能存在分块邻接缺陷,因此,本程序中先将整幅图的亮
CLIQUEAlgorithm
- CLIQUE Algorithm相关论文,报告及相关文献资料-CLIQUE Algorithm relevant papers, reports and related documents
SRG
- 本方法的种子点选取采用Harris角点法,阈值则通过云模型获得,对lena图像进行了较好的分割-The method selected seed points using Harris corner point method, the threshold is obtained through the cloud model, for better lena image segmentation
Affine-transformation
- 仿射变换是空间直角坐标变换的一种,它是一种二维坐标到二维坐标之间的线性变换,保持二维图形的“平直线”和“平行性”,其可以通过一系列的原子变换的复合来实现,包括平移(Translation)、缩放(Scale)、翻转(Flip)、旋转(Rotation)和剪切(Shear)。-Affine transformation is a transformation of Cartesian space, it is a linear transformation of two-dimensional c