搜索资源列表
FaceRecognition
- 本软件主要用到的图像处理技术是:光线补偿、高斯平滑和二值化。随软件附毕业论文。-The main use of this software image processing technology is: light compensation, Gaussian smoothing and binarization. With the software attached thesis.
Kalman
- KAlman 滤波 平滑估值等 很全,还有多维高斯白噪声产生方法-kalman gassion filter
Retinex
- 基于Retinex的MSRCR算法的C语言实现。其中的高斯平滑采用了与尺度无关的快速算法,每个点的运算只要6MADD。程序改自GRetinex,一个GIMP插件-C implementation of Retinex, i.e. MSRCR algorith. In the implementation a fast algorithm was employed for Gaussian smoothing that only 6 MA
20061107094443510
- 包括256色转灰度图,Hough变换,image_j1,PCA,Walsh变换,对比度拉伸,二值化变换,反色, 方块编码,傅立叶变换,高斯平滑,灰度均衡,均值滤波,拉普拉斯锐化(边缘检测), 离散余弦变换,亮度增减,逆滤波处理,取对数,取指数,梯度锐化,图象处理,图像镜像, 图像平移,图像缩放,图像细化,图像旋转,维纳滤波处理,用Canny算子提取边缘,阈值变换,直方图均衡. -Including 256 colors to grays
IP301_AverageSmooth
- 在CCS2.21下运行,一个高斯平滑程序,对初学DM642的很有帮助-CCS2.21 run at a Gauss smoothing procedures, the very helpful beginner DM642
GaussSmooth
- 有关图像处理的高斯平滑的这一功能,运行良好,但是只能是8位位图-Related to image processing of the Gaussian smoothing function, well-functioning, but only eight are bitmap
gaosipinghua
- 高斯平滑,vc++实现功能,包括测试图片,效果明显。-Gaussian smoothing, vc++ implementation functions, including test picture, the effect clearly.
comm
- 实现图像平移、锐化、退化、box平滑、高斯平滑、反色,可转换成灰度图,有可执行文件-Achieve the image shift, sharpening, degradation, box smoothing, Gaussian smoothing, anti-color, can be converted to grayscale, there is an executable file
gsph
- 高斯平滑源代码 数字图像 有测试图像 -Gaussian smoothing
ImageProcessing4
- 灰度转换,walsh变换,对比度拉伸,二值变换,反色,方块编码,,高斯平滑,灰度均衡-Gray-scale conversion, walsh transform, contrast stretching, binary conversion, anti-color, box code, Gaussian smoothing, gray balance
gaoshipinhua
- 高斯平滑处理!很好的数字图形处理方法!全部可用源代码!-Gaussian smoothing! Very good method of digital graphics! All source code available!
gaosipinghua
- 高斯平滑模块,能配套使用的,且符合vc编程的案例-Gaussian smoothing module can be used in supporting and programming in line with the case vc
gsph
- 实现高斯平滑功能的效果,也是图像处理技术中重要的算法-To achieve the effect of Gaussian smoothing function is also an important image processing algorithms
Facerecognition
- 人脸识别因其在安全验证系统、信用卡验证、医学、档案管理、视频会 议、人机交互、系统公安(罪犯识别等)等方面的巨大应用前景而越来越成为 当前模式识别和人工智能领域的一个研究热点。 本文提出了基于24位彩色图像对人脸进行识别的方法,介绍的主要内容是图像处理,它在整个软件中占有极其重要的地位,图像处理的好坏直接影响着定位和识别的准确率。本软件主要用到的图像处理技术是:光线补偿、高斯平滑和二值化。在识别前,先对图像进行补光处理,再
Gaussiansmoothing
- 图像处理中,使用高斯平滑可以有效地抑制高斯噪声.-Image processing, the use of Gaussian smoothing can effectively suppress Gaussian noise.
Gaussian_smoothing
- 用VC++对数字图像进行高斯平滑处理的源代码,很容易上手. -Using VC++ for digital image smoothing Gaussian source code, it is easy to use.
gaosi
- 对加入噪声的图像进行高斯平滑的VC工程文件-Gaussian smoothing to the image of the VC project file
Gaussian
- 数字图像处理中的高斯平滑实现,c++语言编写-Digital image processing to achieve the Gaussian smoothing, c++ language
The_code_of_image_processing
- 图像缩放,中值滤波,高斯平滑,二值化,canny边缘提取等 c++源代码-Image scaling, median filtering, Gaussian smoothing, binarization, canny edge detection c++ source code, etc.
gaosipinghua
- 本人初学图像处理,这是一个简单的高斯平滑的源代码。-I am beginner image processing, it is a simple Gaussian smoothing of the source code.