-
Category : Special Effects
Tags :
- Update : 2008-10-13
- Size : 3.2mb
- Downloaded :1次
- Author :陈**
- About :
陈
- PS : If download it fails, try it again. Download again for free!
Introduction - If you have any usage issues, please Google them yourself
simple image processing, including color to grayscale 256, the Hough transform, Walsh transform, Median filtering, binary conversion, brightness changes, Fourier transform, and color-from the few to admit index, image shifting, image rotation, refined images, image scaling, image mirroring, mean filtering, contrast stretching, Laplacian sharpening (edge detection), block codes, Sharpening gradient, gray balance, histogram equalization, discrete cosine transform, Wiener filter, reverse filtering, threshold transform, Gaussian smoothing.
Packet file list
(Preview for download)
Packet : 91331992codesforimageprocessing.rar filelist
图像处理基础算法源代码\256色转灰度图.rar
图像处理基础算法源代码\Hough变换.rar
图像处理基础算法源代码\Walsh变换.rar
图像处理基础算法源代码\中值滤波.rar
图像处理基础算法源代码\二值化变换.rar
图像处理基础算法源代码\亮度增减.rar
图像处理基础算法源代码\傅立叶变换.rar
图像处理基础算法源代码\反色.rar
图像处理基础算法源代码\取对数.rar
图像处理基础算法源代码\取指数.rar
图像处理基础算法源代码\图像平移.rar
图像处理基础算法源代码\图像旋转.rar
图像处理基础算法源代码\图像细化.rar
图像处理基础算法源代码\图像缩放.rar
图像处理基础算法源代码\图像镜像.rar
图像处理基础算法源代码\均值滤波.rar
图像处理基础算法源代码\对比度拉伸.rar
图像处理基础算法源代码\拉普拉斯锐化(边缘检测).rar
图像处理基础算法源代码\方块编码.rar
图像处理基础算法源代码\梯度锐化.rar
图像处理基础算法源代码\灰度均衡.rar
图像处理基础算法源代码\直方图均衡.rar
图像处理基础算法源代码\离散余弦变换.rar
图像处理基础算法源代码\维纳滤波处理.rar
图像处理基础算法源代码\逆滤波处理.rar
图像处理基础算法源代码\阈值变换.rar
图像处理基础算法源代码\高斯平滑.rar
图像处理基础算法源代码
Related instructions
- We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
- The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
- Please use Winrar for decompression tools
- If download fail, Try it againg or Feedback to us.
- If downloaded content did not match the introduction, Feedback to us,Confirm and will be refund.
- Before downloading, you can inquire through the uploaded person information