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digital-watermarking-algorithm
- 提出了一种鲁棒性数字水印算法。该算法中水印嵌入的位置和强度均与原始图像有关-A robust digital watermarking algorithm. The watermark embedding algorithm, the location and intensity of the original image on
adaptiveclustering
- he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations
KMeans
- he problem of segmenting images of objects with smooth surfaces is considered. The algorithm we present is a generalization of the ,K-means clustering algorithm to include spatial constraints and to account for local intensity variations
color
- 处理彩色图像，得到红，绿，蓝三个通道的效果， 并得到饱和度和亮度的图像，以及做伪彩色图像处理（分配不同的颜色 不同的灰色水平），还有边缘检测技术-Processing color images, get the red, green, and blue channels of the results, and get saturation and brightness of images, and do pseudo-color image processing (assigned a di
gamma_correction
- Gamma intensity correction is on of preprocessing technique in face recognition. Using Gamma intensity correction face images are preprocessed to normalize the lighting variation. The overall brightness of the image can be controlled by changing
dsxghfbp
- xlabel( Distance ) ylabel( Intensity ) title( line profile of a gray Image )
STDM
- 在图像的DCT系数上嵌入信息，图像为常见的512*512大小的灰度图（实验所用图像为LENA.BMP）。嵌入的信息为一二进制Logo图（实验所用logo图为LOGO.bmp），该图大小为64*64，共4096个Bit。 1. 使用STDM方法在LENA图中嵌入水印，输出嵌入后的水印图像。 2. 对水印图像解码，输出解码后得到的logo图，并统计错误率。 3. 在相同的量化步长下，观察不同强度的噪声攻击下系统性能的变化 4. 在相同的量化步长下，观察不同强度的JPEG压缩下系统性能
A-Comparison-of-SIFT-and-Harris-Conner-Features.r
- Abstract—This paper presents a comparative study of two competing features for the task of finding correspondence points in consecutive image frames. One is the Harris corner feature and the other is the SIFT feature. First, consecutive fram
Pranesh-bro
- JPEG compression 1. Pixel based motion estimation: the pixel based motion estimation approach seeks to determine motion vectors for every pixel in the image. This is also referred to as the optical flow method, which works on the fundamental assump
intrans
- 一个函数，可以计算负片变换，对数变换，gamma变换和对比度拉伸变换-INTRANS Performs the intensity(gray-level) transformation, including computing the negative, log, gamma, stretch of input image.
PHO
- 利用图像的相位信息，用gabor滤波器组求图像的边缘强度图。基于相位一致性的图像边缘强度图C代码。-Use of the phase information of the image, the edge intensity of the image using Gabor filter group and FIG. Based on the consistency of the image edge strength phase diagram C code.
Fingerprint-Enhancement
- 指纹增强的matlab实现源代码，包含多个matlab函数文件。-ridgesegment.m identifies ridge-like regions of a fingerprint image. It also normalises the intensity values of the image. ridgeorient.m estimates the local orientation of ridges in a fingerprint. plotridgeorient.
src_mrogh
- 旋转不变描述子，在PAMI上发表，文章作者编写的源码。-An implementation of MROGH descr iptor For more information, refer to: Bin Fan, Fuchao Wu and Zhanyi Hu, Aggregating Gradient Distributions into Intensity Orders: A Novel Local Image Descr iptor,
retinex_frankle_mccann
- RETINEX_FRANKLE_McCANN: Computes the raw Retinex output from an intensity image, based on the original model described in: Frankle, J. and McCann, J., "Method and Apparatus for Lightness Imaging" US Patent #4,384,336, May 17, 1983- RET
guangzhaomoxing
- 用于给出三维物体和光源位置，输出二维图像，包括每一元素点的光线强度-Used to give three-dimensional objects and the position of the light source, the output of the two-dimensional image, the light intensity of each element
edgedetection
- Edge detection refers to the process of identifying and locating sharp discontinuities in an image. The discontinuities are abrupt changes in pixel intensity which characterize boundaries of objects in a scene.
wiener2-filtering
- wiener2图像滤波小程序。维纳滤波理论在图像处理中有着广泛的应用。-wiener2 lowpass filters an intensity image that has been degraded by constant power additive noise. wiener2 uses a pixel-wise adaptive Wiener method based on statistics estimated from a local neighborhood of each p
zebra-0.1.tar
- ZBar bar code reader. ZBar is an open source software suite for reading bar codes from various sources, such as video streams, image files and raw intensity sensors.
IterativeClosestPoint1
- PointSet-to-PointSet配准是医学图像分析中的一个普遍问题。通常建立在点从图像中提 取出来并用于建立图像之间的空间通信。这种配准类型被看做是基于配准特征的最简单情 况。在一般情况下，到目前为止，基于配准的特征是我们介绍的更加有效的表示亮度的方法。然而，基于配准的特征产生了从图像中确定和提取特征的新问题，这也是一个很大的挑战。-PointSet-to-PointSet registration is a common problem in medical image ana
sigmafil
- matlab版本的对SAR强度影像的sigma滤波-sigma filter of SAR intensity image