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retinex_final_5_28
- Retinex图像增强 不同于传统的线性、非线性的只能增强图像某一类特征的方法,Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡,因此可以对各种不同类型的图像进行自适应的增强。-Retinex image enhancement
code
- 将交通视频变成图像后进行图像掩蔽并做边缘增强判断压线-After changing Traffic video into image image masking and line pressing edge enhancement
edge-enhance
- OpenCV边缘增强函数,用于增加边缘对比度-OpenCV edge enhancement function for increasing the contrast of the edges
nonlinear-diffusion-and-enhance-edge
- 结合各向异性扩散,先对超声图像进行滤波去噪,然后进行边缘增强-nonlinear diffusion and enhance edge
retinex.opencv
- Retinex理论的基础理论是物体的颜色是由物体对长波(红色)、中波(绿色)、短波(蓝色)光线的反射能力来决定的,而不是由反射光强度的绝对值来决定的,物体的色彩不受光照非均匀性的影响,具有一致性,即retinex是以色感一致性(颜色恒常性)为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法,Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡,因此可以对各种不同类型的图像进行自适应的增强。-The basic theory of Retinex theory is
MSR
- 多尺度Retinex算法,可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡,因此可以对各种不同类型的图像进行自适应的增强。 -Multiscale Retinex algorithm, can be in dynamic range compression, edge enhancement and color constancy in three aspects to balance, thus can be adaptive to different types of image en
ImageFilterinFrequencySpace
- 目的是改善影像质量,包括去除高频噪声与干扰,及影像边缘增强、线性增强以及去模糊等。分为低通滤波(平滑化)、高通滤波(锐化)和带通滤波。-The purpose is to improve the image quality, including the removal of high frequency noise and interference, and image edge enhancement, linear enhancement and deblurring. Into a low
ImageDiffusionFiltering
- 各式各样的扩散为基础的图像滤波方法: 1。线性扩散滤波使用热方程,解决了使用隐式和显式欧拉方法。 2。边缘增强线性各向异性扩散滤波。 3。边缘增强非线性各向异性扩散滤波。-The spread of a variety of image filtering method based on: 1. Linear diffusion filter using the heat equation, solved using implicit and explicit euler met
imaging-sharping
- 数字图像处理 图像锐化 高通滤波边缘增强 -imaging sharping
Nonlinear_Diffusion_v1.2
- 代码支持齐次线性和非线性(总变差和边缘增强流动)的任意尺寸领域各向同性扩散(标量/灰度图像,彩色图像和矩阵向量/结构张量)。添加剂算子分裂(AOS)以及高斯正则化的实现加速计算。-The code supports homogeneous and linear and nonlinear (Total Variation and Edge Enhancing flow) isotropic diffusion of arbitrary dimensioned fields(scalar~gray
MATLAB
- 实验2绿叶变色,实验3图像数字化显示,实验4图像类型转换,实验5对比度增强,实验6直方图均衡化和规定化,实验7噪声添加和空域滤波,实验8边缘增强和边缘检测,实验9彩色图像增强,fft,dct,dwt变化及压缩,滤波器,实验20运动退化和维纳波复原,实验21图像的几何畸形校正等实验的代码和报告-Experiment 2 leaves change color, 3 digital image display, the image type conversion, 4 5 contrast enha
Edge-Enhancement
- 程序用于完成不同滤波器的图像频域降噪和边缘增强的算法,包括理想低通滤波器,指数型低通滤波器(ELPF),二阶巴特沃斯低通滤波器-Image Frequency noise reduction and edge enhancement algorithms
hdr_reconstruction
- 对HDR图像双边滤波处理,保留边缘滤出噪声,对图像的基础层进行对比度调整,对细节层进行边缘增强,实现保留图像丰富的细节信息和边缘锐化-HDR image was processed by multiple bilateral filtering to reserve the edge and filter impulse noise. Then the basic layer of the image was conducted on contrast
biyuanzengqiang
- 用梯度法对图像进行边缘增强,并用MATLAB惊醒代码编程实现。-Using a gradient method for image edge enhancement, and woke up the code with MATLAB programming.
bianyuan_lvbo_matlab
- 编写程序完成不同滤波器的图像频域降噪和边缘增强的算法并进行比较,得出结论,效果很好,多种方法工你选择,文档中包含图片- Image Frequency noise reduction and edge enhancement algorithms to program completion and compare different filters, concluded that the effect is very good, work a variety of methods to ch
test
- erdas雷达基本操作模块,斑点噪声,边缘增强,图像增强,亮度调整-erdas basic operation of radar module, a speckle noise, edge enhancement, image enhancement, brightness adjustment
hough
- 可用于图像边缘检测,用于区域图形检测,并且包括图像二值化,亮度增强(Can be used for image edge detection, for regional graphics detection, and includes two image value, brightness enhancement)
byjc
- 图像边缘检测主要用于增强图像中的轮廓边缘、细节以及灰度跳变部分,形成完整的物体边界,达到将物体从图像中分离出来或将表示同一物体表面的区域检测出来的目的。(In image edge detection is mainly used to enhance image contour edge, details and gray level jump part, forming a complete object boundary, reach to isolate the object from
ImageProcess_vs2015
- 代码来自《精通Visual C++图像处理编程(第3版)》附盘,笔者作了一点代码补充和修改,移植到 win10 - vs2015 平台,编译运行成功。 图像处理主要功能:平滑(&F),锐化,边缘增强,边缘检测,中值滤波去噪,浮雕,油画,快速傅立叶变换,余弦变换,沃尔什-哈达玛变换,腐蚀,膨胀,开运算,闭运算,边缘提取,细化等。(Code from the "proficient in Visual C++ image processing programming (Third
CANNY
- 根据CNNAY算法的4个步骤 1. 用高斯滤波器平滑图像;(图像去噪) 2. 用一阶偏导有限差分计算梯度幅值和方向;(特征增强) 3. 对梯度幅值进行非极大值抑制 ;(边缘检测) 4. 用双阈值算法检测和连接边缘。(形态学处理) 编写的边缘检测程序,简单实用(There are four parts of Canny edge detection: 1. smoothing the image with Gauss filter; (image denoising) 2. c