资源列表
DigitalImage
- 使用C#以及EmguCV完成的图像处理基本程序,包含一个美观的界面,24种图像处理算法,使用时请自行配制好EmguCV-And an image processing using the C# program EmguCV substantially complete, the interface includes a beautiful, 24 kinds of image processing algorithms, make use of the preparation of a good
Image-Filtering-in-Frequency-Domain
- 用matlab编写的在频域的图像平滑处理的代码,包括几个算法,简单易懂-Using matlab image smoothing frequency domain code, including several algorithms, easy to understand
Edge-of-the-binary-image-tracking
- CVI二值图像的边缘追踪,用于简单的追踪二值图像的边缘。-Edge of the binary image tracking
FACE_RECOGNIZE
- 基于PCA的CVI人脸识别程序,实现人脸的切割与ORL图像库人脸的识别-Face recognition based on PCA CVI program, achieve cutting and ORL face image database of face
qumo
- 一个可以处理彩色图像的源码,用matlab实现,提取图像每一点的RGB值,并最终将图像转换成一个彩色的圆形点阵,这可以应用在旋转LED的上位机控制中的图形取模上。-A color image can be processed source code, using matlab to achieve, extract images RGB values at each point, and eventually convert the image into a colo
Cloud-image-processing
- 处理云图数据,通过对云图加伪彩色便于观察分析,并且图像处理中设计了漫游、放大、缩小等功能,以便能对云图的全局或局部进行观察、分析。-Cloud data processing, through the cloud plus pseudo-color for easy observation and analysis, and image processing design roaming, zoom and other functions, in order to be able to clou
recognition-matlab-moving-objects
- 一个基于matlab的运动目标跟踪的资料,包括源代码和视频样本-A moving target tracking based on matlab, including source code and video samples
of-Apple-detection-and-recognition
- 基于机器视觉的苹果检测与识别关键技术研究 本文以自然场景下的苹果果实为研究对象,对果实采 摘机器人采摘过程中苹果的检测与识别进行了研究,在机器视觉技术上提出一种新的圆 形检测算法,有效的实现了苹果特征提取。-Apple detection based on machine vision and identification of key technologies Taking apple fruit under natural scene for the study of the
Fast_Walsh_Hadamard_Transform
- 最小的增广拉格朗日并交替方向算法应用matlab实现-Minimization by Augmented Lagrangian and Alternating Direction Algorithms use matlab to implement
NSRfilter
- 关于散斑噪声去除的很多种去噪方法,其中还包含现在很流行的一些去散斑噪声方法。-This package contain several filter algorithms for speckle reduction in ultrasound images or SAR images.
grabcut
- GRABCUTOpenCV中的GrabCut算法是依据《"GrabCut" - Interactive Foreground Extraction using Iterated Graph Cuts》这篇文章来实现的。该算法利用了图像中的纹理(颜色)信息和边界(反差)信息,只要少量的用户交互操作即可得到比较好的分割结果。如果前景和背景之间的颜色反差不大,分割的效果不好;不过,这种情况下允许手工标记一些前景或背景区域,这样能得到较好的结果。-GRABCUTOpenCV in GrabCut alg
FLICM
- 基于局部模糊C均值聚类算法的图像分割的Matlab源代码-Image segmentation based on local fuzzy C-means clustering algorithm