资源列表
PUSHMRIMAGE
- DICOM图像传输至PACS软件，适用于北京新网PACS-DICOM image transfer to PACS software for new network PACS Beijing
OTSU_matlab
- 基于matlab环境下写的OTSU算法，自适应阈值分割，非常适用的阈值分割算法，适用于计算机图像处理初学者。-Matlab environment based on written OTSU algorithm, adaptive threshold, very applicable threshold segmentation algorithm for computer image processing for beginners.
ImageRegistration
- 基于图像相似度的二维灰度图像配准算法C++源代码，适合入门级的学习人员学习使用-Two-dimensional gray scale image similarity based image registration algorithm C++ source code, for entry-level learning to learn to use
Ostu2dim
- Ostu二维方法实现图像单阈值分割，效果优于传统的一维算法-Ostu single two-dimensional method of image segmentation, better than traditional one-dimensional algorithm
ERDAS
- 遥感专业图像处理软件Erdas中文教程，详细介绍个模块功能-Remote sensing image processing software Erdas Chinese professional tutorials, detailed module features
YUV-RGB
- 把YUV格式视频转换成RGB格式的，RGB格式转换成YUV的格式，两者之间互换-The YUV format into RGB format video, RGB format into YUV format, exchange between the two
sss
- 传统模糊增强Pal和King算法；多层次模糊增强算法；单层次模糊增强算法-Traditional fuzzy enhancement Pal and King algorithm multi-level fuzzy enhancement algorithm single-level fuzzy enhancement algorithm
graphic
- 主要功能有： 1) 具有菜单，通过菜单执行各种操作； 2) 采用图元的扫描转换算法绘制各种基本图元，如直线、圆、圆弧、多边形 3) 实现图形的平移、缩放、旋转、对称、错切及组合变化； 4) 能够拾取图形，并修改所选的图形的颜色、线型等； 5) 能够采用各种算法填充多边形、圆、扇形区域； 6) 能够采用各种算法实现直线裁剪、多边形裁剪； 7) 能够绘制各种样条曲线。 8) 能够绘制三维图形的投影图，包括：三视图、轴侧图、透视图； 9) 能够绘制分形图形，例如，K
Unit1
- 在OPENCV平台上进行开发，应用HAAR特征进行训练，对目标物体建立数据库，训练分类器，进行识别-In OPENCV platform development, application of HAAR features training, establish database, the training object classifier, and identified
Marksdetection
- 自己曾经做的一个项目，基于几何特征的模式识别。可以有效的识别等边三角形，矩形，六角形 和圆形。 基于c++和OpenCV 编写的程序。是学习OpenCV的好代码。 图像处理&模式识别。-Marksdetection for equilateral triangles,rectangle, regular hexagon, special orthogonal polygons and circles Based on C++ and OpenCV good source code f
image
- 遥感图像分割,包括七幅图像matlab实现-image segntme
clusterImg
- 彩色图像分割，灰常不错。This function implements kmeans clustering on an input RGB (m x n x 3) image. The user inputs at least two inputs: IMGIN and NCLUSTERS, and this function will step through an interactive color segmentation using kmeans clustering. It