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image-registrationHarris
- 针对基于最大互信息图像配 准的不足 研究 了基于 H a r r ls角点算子的多模态医学图像配准。在计算互信 息的时候,采用部分体积插值法计算联合灰度直方 图-Based on the maximum mutual information for image registration based on the lack of H arr ls corner operator multimodal medical image registration. In calculating the mu
CT-image-reconstruction-system
- 用于医学ct图像重建，所使用的开发语言是visual++，本程序需要先安装和配置好vtk环境才能编译并以命令行方式运行-Ct for medical image reconstruction, development of language is used for visual++, the program needs to be installed and configured vtk environment in order to compile and run the command li
Image-Segment-3D-Reconstruction
- 一种医学图像分割与三维重建方法，本文研究了光线投射体绘制算法、错切变形法和基于纹理映射的体绘制算法，以及 Marching Cubes 面绘制算法的实现机制和适用范围。-Medical image segmentation and reconstruction
Image-Segmentation-Reconstruction
- 介绍了医学图像基于区域的图像分割和基于边缘的分割方法，以及三维重建的算法-This paper introduces the image segmentation of medical image based on region and the segmentation method based on edge, and the algorithm of 3 d reconstruction
ITK-image-processing-system
- 基于ITK、VTK和MFC的医学图像处理系统集成，以及接口问题-ITK, VTK and MFC based medical image processing system integration, and interface issues
image-sharpening-process
- 简单医学图像锐化处理 设计了GUI界面 便于操作使用-medical image sharpening process
Visual-C-MATLAB-image-processing
- 本书系统地介绍了图像处理与识别的基本原理、典型方法和实用技术。全书共分12章，第1章～第6章是图像处理与识别的基础内容，包括图像科学综述、MATLAB语言图像编程、图像增强、图像分割、图像特征提取和图像识别；第7章～第10章是图像处理与识别的工程实例，涵盖了医学图像处理、文字识别和自导引小车路径识别等应用实例，并结合理论算法，提供了大量MATLAB代码程序，以帮助读者掌握如何使用MATLAB语言快速进行算法的仿真、调试和估计等方法。第11章～第12章，是两个综合性较强的实例，分别是Visual
Otsu-image-processing-code
- 在Matlab环境下运用最大类间差法实现医学图像分割-Achieve medical image segmentation method using the difference between the largest class in the Matlab environment
matlab-code-for-image-fusion-using-maximum-method
- this a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medical image processing.-this is a collection of suite used for image fussion of two images that are pet and mri images mainly. used in medic
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
image-_det_seg
- 基于各向异性扩散的医学图像的边缘检测与分割处理-Based on the anisotropic diffusion of medical image segmentation and edge detection
Working-registered-image-code
- This code is helpful for medical image registration. this code is working.
Image-processing
- 图像处理 基于数学形态学的医学眼睛图像处理-Image processing of medical image enhancement based on mathematical morphology
image-fusion
- 多模态医学图像融合技术，针对CT图像和超声图像融合，采用光学/电磁设备定位，外文文献-Multi-mode medical image fusion technology, for CT image and ultrasonic image fusion, using optical/electromagnetic device positioning, foreign literature
Imagmento
- medical image segementation(This paper reviews several main microscopic cell image segmentation methods ideas and points out their advantages and disadvantages)
DCT_image_fusion
- DCT based MEDICAL IMAGE FUSION
Lab Manual-Medical Image Processing
- 图像处理一些简单的函数，以及一些应用实例，供参考学习。(Image processing some simple functions, as well as some application examples for reference learning.)
OpenCVDemo3
- image segmentation, medical image
roman ii
- Most of the medical images are affected by different types of noises during acquisition, storage and transmission. So denoising of an image is a basic step in medical image processing. The normally used filtering techniques are, median and mean filte
image_registration
- ITK 是一个开放源码、面向对象的软件系统，提供一个医学图像处理、图像分割与配准 的算法平台。本书介绍ITK源代码使用。(ITK is an open source, object-oriented software system, providing a medical image processing, image segmentation and registration algorithm platform. This book introduces the use of ITK