搜索资源列表
Reconfigurablefliter
- 自己编写的SystemC源代码,拥有五级流水线的可重构图像滤波器,支持两种图像滤波算法,中值滤波和邻域平均滤波,支持算法配置-I have written SystemC source code, the reconfigurable image filter has a five-stage pipeline, supports two types of image filtering algorithms, median filtering and neighborhood average
stereo_sad
- 自己编写的立体匹配源代码,采用SAD作为费用累积函数,并且加入了L-R Check和邻域投票法解决误匹配问题-Stereo matching source code to write your own, using the SAD as cost cumulative function, and LR Check and neighborhood voting method to solve the problem of mismatching
ImageProcessing
- 局部直方图均衡,通过选择整个图像中像素邻域,进行直方图均衡-Local Histogram Equalization
color-image-region-growing
- 彩色图像分割处理,采用区域生长方法进行,八邻域生长方式-color image region growing
jiaoyan
- 打开一幅图像,添加椒盐、高斯噪声,然后使用中值滤波,K邻域平均法进行平滑-Open an image, add salt and pepper, Gaussian noise, and then use the median filter, K neighborhood average method smoothed
imageproc
- 用matlab对图像进行五类基本运算,例如灰度直方图,邻域平均,局域增强,中值滤波-Image using matlab five types of basic operations, such as histogram, neighborhood average, local enhancements, median filtering
differential-geometry-introduce
- 微分几何学是运用数学分析的理论研究曲线或曲面在它一点邻域的性质,换句话说,微分几何是研究一般的曲线和曲面在“小范围”上的性质的数学分支学科。
noise
- 打开一幅图像,添加高斯、椒盐噪声,用邻域平均法、中值滤波法和K邻近平均法进行处理。-Open an image, add of Gauss, salt and pepper noise processed with the neighborhood average, median filtering method and K adjacent average method.
work4
- 打开一幅图像,添加高斯、椒盐噪声,用邻域平均法、中值滤波法和K邻近平均法进行处理。-Open an image, add of Gauss, salt and pepper noise processed with the neighborhood average, median filtering method and K adjacent average method.
Wangyi
- MFC图像处理包括邻域滤波、直方图、中值滤波、高斯滤波、梯度锐化。-MFC image processing, including neighborhood filtering, histogram, median filtering, Gaussian filtering, gradient sharpening.
Digital-Image-Processing
- 1 打开一个BMP文件,将其局部区域的灰度值进行改变,另存为一个新的BMP文件,要求显示出原BMP图像和新BMP图像。 2.编程实现图像傅立叶高通、低通滤波。 3.打开一幅图像,添加椒盐、高斯噪声,然后使用邻域平均法、中值滤波法、K邻近平均法进行平滑 4.打开一幅图像,利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化,并比较结果。 5.编写一个程序,对输入的图像进行哈夫曼编码,显示原图像的熵、编码后的平均码字长度、并能够根据编码重建出图像
kd-Tree-On-KNN
- 利用K_D树数据结构实现K邻域搜索的算法代码-K_D tree data structure the K neighborhood search algorithm code
pupil-localization
- 本函数选用阈值分割的方法来完成瞳孔定位。根据图像的灰度分布特性,瞳孔部分的灰度值最小,其次为虹膜部分,最大的为巩膜部分。因此在灰度直方图中,第一个大峰值的邻域即是瞳孔所在区域。-Function selects the threshold segmentation method to accomplish the pupil location. Based on image gray distribution features, the pupil part of the grey valu
An-expanding-SOM
- 自组织映射(SOM)已成功处理的欧式旅行的鹅岭推销员问题(TSP)。通过将其邻域保持财产和 凸包属性数值模拟TSP,我们引入了一个新的SOM如神经网络,称为前panding的SOM(ESOM)的。在每一个学习的迭代,ESOM提请接近的兴奋神经元 输入的城市,并在此期间,推压它们向凸包ofcities合作。 ESOM可能收购邻里保护财产和凸包的属性 的TSP,因此它可以产生接近最优的解决方案。从理论上分析了其可行性 和经验。一个的系列ofexperiments进行合成和基准的T
K-Nearest-Points
- 实现散乱点云的K邻域搜索,对于从事逆向工程方向研究有较大的帮助-Of scattered point cloud the K neighborhood search, larger studies engaged in reverse engineering direction
wangwei
- 基于ORL人脸库的人脸识别,基于PCA降维、K邻域识别法;以及PCA降维,Fisher判别-Face recognition based on the ORL database, based on the PCA dimension K neighborhood identification method PCA dimension, Fisher discriminant
Chang-hong
- Chang Hong提出的邻域嵌入方法应用于图像超分辨-Super Resolution- Neighbor Embedding by Chang Hong
Super-resolution-through-
- 超分辨率放大基于邻域嵌入论文pdf包含简介 算法 和 超分结果-Super-Resolution Through Neighbor Embedding
Connection
- 编程实现标记法提取目标(按8连通计算邻域)-The realization of the goal of programming extraction labeling (according to 8 connected computing neighborhood)
txcl2
- 了解空间域图像增强的各种方法(点处理、掩模处理);通过编写程序掌握采用直方图均衡化进行图像增强的方法;使用邻域平均法编写程序实现图像增强,进一步掌握掩模法及其改进(加门限法)消除噪声的原理;-Understand the spatial domain image enhancement (point processing, mask processing) 2), master histogram equalization image enhancement method through th