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Read_MRIRawdata.m
说明： 该文件可以读取MRI raw data，磁共振指的是自旋磁共振（spin magnetic resonance）现象。其意义上较广，包含核磁共振(nuclear magnetic resonance, NMR)、电子顺磁共振（electron paramagnetic resonance, EPR）或称电子自旋共振（electron spin resonance, ESR）(The file can read MRI raw data, Magnetic resonance refers to the phenomenon of spin magnetic resonance. It is broader in meaning and includes nuclear magnetic resonance (NMR), electron paramagnetic resonance (EPR) or electron spin resonance (ESR))
- 2020-07-03 17:20:01下载
- 积分：1
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Supervised
遥感信息工程学院遥感原理与应用课程实习监督分类(Supervised of Remote Sensing Principle and Application Course Practice)
- 2019-05-24 08:43:58下载
- 积分：1
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LMD
自己编写的数字图像处理程序，包括打开bmp图像，直方图，阈值分割，形态学处理等功能。(digital image processing procedures, including open bmp image, histogram, threshold segmentation, morphological processing and other functions.)
- 2013-11-14 22:17:45下载
- 积分：1
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matlab.thresholding-master
在计算机视觉中，图像分割是将图像分成多个片段的过程。这使我们能够通过以比原始图像更简单的表示方式来更好地分析图像。一种用于分割图像的方法是阈值分割；也就是说，将强度值低于阈值的所有像素设置为背景值，而将高于阈值的其他像素设置为前景值。最简单的阈值处理形式是对所有像素使用全局阈值，而自适应阈值处理根据像素及其周围环境动态改变阈值。典型地，阈值处理从灰度图像开始，并输出二进制图像以清晰地描绘图像中的片段。在本实验中，我们开发了一种自适应阈值算法，并将其与更简单的算法进行了比较。 此外，我们还开发了逆运动学证明来将机械臂移动到给定的x，y，z坐标。这一证明涉及三种命名身份，并获得了对机械臂设计的更好理解。(Image threshold segmentation)
- 2019-04-14 15:41:02下载
- 积分：1
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pcnn
matlab环境下，基于脉冲耦合神经网络（pcnn）的图像分割技术。(matlab environment, based on pulse coupled neural network (pcnn) Segmentation.)
- 2010-09-10 23:54:01下载
- 积分：1
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xgcl
基于fcm的图像分割方法，效果好，希望能给大家提供一些建议。(FCM-based image segmentation method, the effect of good, I hope everyone can offer some suggestions.)
- 2007-09-06 20:12:56下载
- 积分：1
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人脸+虹膜识别+瞳距测量
说明： matlab实现人脸识别和虹膜定位 识别效果良好(Accurate eye location by MATLAB)
- 2019-02-28 12:26:18下载
- 积分：1
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psoOptions
说明： pso粒子群优化算法参数设置，是工具箱中结合部分的核心。(PSO PSO algorithm parameter settings, Toolbox is part of the integration of the core.)
- 2006-04-04 21:38:10下载
- 积分：1
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chapter02
matlab6.5图形图像处理源程序 部分内容 第二章压缩包 (matlab6.5 )
- 2013-10-27 13:02:04下载
- 积分：1
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dirty glass
建立一个透明物体上有污点的模型，可以模拟玻璃上有污点的图象(Rendering of clean transparent objects has been well studied in computer graphics. However, real-world transparent
objects are seldom clean—their surfaces have a variety of contaminants such as dust, dirt, and lipids. These
contaminants produce a number of complex volumetric scattering effects that must be taken into account when
creating photorealistic renderings. In this paper, we take a step toward modeling and rendering these effects. We
make the assumption that the contaminant is an optically thin layer and construct an analytic model following
results in radiative transport theory and computer graphics. Moreover, the spatial textures created by the different
types of contamination are also important in achieving visual realism. To this end, we measure the spatially
varying thicknesses and the scattering parameters of a number of glass panes with various types of dust, dirt, and
lipids. We also develop a simple interactive synthesis tool to create novel instances of the me)
- 2009-07-11 17:13:08下载
- 积分：1
