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Combined-with-Canny
- 对经典的二值化方法Ostu 算法和Bernsen 算法中存在的缺点进行了分析, 提出一种结合Canny 算子的图像 二值化方法.该方法综合考虑了边缘信息和灰度信息, 通过边缘附近种子点在高阈值二值化图像中的填充和低阈值 图像对它的修补而得到二值化结果图像, 较好地解决了经典二值化方法中存在的抗噪能力差、边缘粗糙、伪影现象 等缺点.实验结果证明, 该方法能够较好地解决低对比度图像和目标像素灰度不均匀图像的二值化问题-The disadvantage of the classical
FrameDiff
- OpenCV实现帧差法，在两幅图的差距较大时保存该图像，可用于筛选重复的图像-OpenCV implements a frame difference method that preserves the image when the gap between the two images is large, and can be used to filter duplicate images
LMS
- 该算法同于计算最小平法差，在图像复原和超分辨率重建中是一个较好的评价参数。-The algorithm is the same as calculating the least square difference, which is a good uation parameter in image restoration and super-resolution reconstruction.
ImageQualityMeasures
- Image / Picture Quality Measures In this application, different image quality measures are calculated for a distorted image with reference to an original image. To test the application, a set of 20 distorted images i ncluded in this package. The
IR_Fourier
- 用傅里叶变换的方法实现以名字为例的图像的复原，并计算每次迭代后原始图像与复原图像差值的均方根-Fourier transform method implemented in the name of Case image restoration, after each iteration and calculate the rms original image and the restored image difference
Canny
- anny边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。 Canny边缘检测算法： step1:用高斯滤波器平滑图象； step2:用一阶偏导的有限差分来计算梯度的幅值和方向； step3:对梯度幅值进行非极大值抑制； step4:用双阈值算法检测和连接边缘。-anny edge detection operator is John F. Canny developed in 1986 out of a multi-level
quduishu
- 对灰度图像进行归一化处理（求对数）使得图像灰度差异明显-The normalization of gray image (for logarithmic) makes the image gray difference obvious
Gray_World
- Gray world认为R、G、B三个分量对光源的感知是等价的，该算法的基本思想是：通过利用公式求取三个基本颜色红、绿、蓝的像素平均值来确定出整个图像的整体平均值，再以整体平均值为基础调整每个像素的红、绿、蓝分量值，以达到校正色彩偏移的效果。物体表面的平均反射没有色度差。-Gray world that the R, G, B three components of light perception is equivalent to the basic idea of the algorithm
4
- 基于四叉树分割的JPEG隐写分析 当前主要的隐写分析方法都是对整幅图像进行特征提取，而忽略了图像的内容差异。该文提出一种 基于四叉树分割的 JPEG 隐写分析方法，该方法根据图像块的纹理复杂度进行图像分割，对具有相同统计特性的子图像分别进行隐写检测特征的提取，并构造相应的分类器，通过加权融合得 到最终的检测结果。实验结果表明该方法具有良好的性能，尤其是在训练与测试图像的统计特性具有较大差异时，该算法的检测准确率提高更加明显。 -Based on quadtree segmentat
BPSK-Pass-color-pictures
- BPSK (Binary Phase Shift Keying) -二进制相移键控。BPSK使用了基准的正弦波和相位反转的波浪，使一方为0，另一方为1，从而可以同时传送接受2值(1比特)的信息。本程序采用simulink实现传输彩色照片。并求出了不同信噪比时的误码率以及原图和传输后的图片，以及两者差值-BPSK (Binary Phase Shift Keying) - Binary Phase Shift Keying. BPSK uses the reference sine wave
similar
- 这是关于图像相似度比较的程序，其中有关于像素差值编码的图像相似度比较-This is on the image similarity comparison program, on which the image similarity comparison coded pixel difference values
hua
- 易语言画板素描源码例程程序根据画板底色与图像的颜色差异判断，对图像进行轮廓的素描。 -Easy language Sketchpad sketch source routine procedures in accordance with the color difference between the background and the image of the judge to determine the outline of the image sketch.
rota
- matlab图片旋转程序，使用的三次差值算法，支持图像的360度旋转- matlab图片旋转程序，使用的三次差值算法，支持图像的360度旋转 34/5000 Matlab túpiàn xuánzhuǎn chéngxù, shǐyòng de sāncì chà zhí suànfǎ, zhīchí túxiàng de 360 dù xuánzhuǎn Matlab picture rotation program, using the third difference
hdtxcl
- 用于对灰度图像进行缩放处理并获得其线性差值。-Gray image processing, bilinear difference
TUXIANGSHIBIE
- 对给定的多幅图片先进行训练分类，并进行频率分析，对于测试的图像与训练图像进行频率做差，求其最小的差值所对应的训练图像，就实现了图形识别。-For a given number of pictures first training classification, and frequency analysis, for the test image and training images to do the frequency difference, find the minimum differe
rechuandaofangcheng
- 热传导方程采用前向差分法求解，内容详细，通俗易懂，并配图像-The heat conduction equation is solved by the forward difference method, the content is detailed, easy to understand, and with the image
WRFPNGP
- Image median filtering, the use of median filtering and low pass filtering comparison, analysis of PSNR, it is concluded that the performance difference
xnzg
- 图像中值滤波,利用中值滤波和低通滤波进行比较,分析PSNR,得出性能差别-Image median filtering, the use of median filtering and low pass filtering comparison, analysis of PSNR, it is concluded that the performance difference
EDLR
- 图像中值滤波,利用中值滤波和低通滤波进行比较,分析PSNR,得出性能差别-Image median filtering, the use of median filtering and low pass filtering comparison, analysis of PSNR, it is concluded that the performance difference
feixianxingguiyi
- 手写汉字变形问题是非特定人脱机手写汉字识别中的关键同题。本文从预处理的角度探讨了直接从汉字点阵图像上矫正手写变形、减小属于同一类别的不同模式之I町差异的途径，提出了一种新的非线性规一化方法。该方法同时考虑了汉字笔画像素点和背量空白像素点，汉字点阵中的所有像素点均具有笔画密度描述，且将不同的像素点赋予不同的笔画密度，笔画密度时描述具有二维性、局部性，使得笔画密度的描述更为合理，规一化后的汉字点阵中笔画的分布更加趋向均匀．实验结果证实了本文方法的有效性。-The problem of handwri