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LBP
线性反投影算法(Linear Back Projection,简称 LBP)又称累加法,是最早使用的一种简单(ECT图像重建)成像算法。它将通过某点的所有投影射线进行累加,再反向估算出该点的密度值。从成像观点分析,它是不完全的雷登逆变换(完整的雷登逆变换包括微分、希尔伯特变换、反投影和归一化等步骤)。(Linear back projection algorithm (Linear Back Projection, referred LBP), also known as cumulative method, is the first to use a simple (ECT image reconstruction) imaging algorithms. It accumulates all projection rays through a point, then reverse the estimated density value of the point. From the image point of view analysis, it is not exactly the inverse transform Leiden (Leyden complete inverse transformation involving differential Hilbert transform backprojection and normalization steps, etc.).)
- 2015-06-08 10:20:16下载
- 积分:1
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zhongzhilvbo
在VC++6.0开发环境下,图像中值滤波的源码实现,编译即可运行~(In VC++6.0 development environment, the source image median filter implementation, the compiler can be run ~)
- 2010-05-20 09:04:19下载
- 积分:1
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matlab-susan
说明: 图像处理中,一种新的边缘检测,特征点提取方法,算法经过测试,可以运行,对医学图像处理的人有帮助(Image processing, a new edge detection, feature point extraction method, the algorithm has been tested, you can run on the medical image processing to help the people)
- 2009-08-03 13:35:22下载
- 积分:1
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ImagePro
本人研究生阶段做的项目,线结构光视觉传感器的标定中的激光光条中心的提取。
1、通过JPG、PCX、GIF解码方法,来打开BMP、JPG、PCX、GIF格式图像。
2、大津展之法阈值变换,效果较好。
3、三种细化方法,Rosenfold细化、Hildith细化、Pavlidis细化。
4、基于灰度重心法的全分辨率的激光光条中心亚像素坐标的提取。(Calibration )
- 2010-03-12 11:43:58下载
- 积分:1
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cseg
MATLAB基于贝叶斯的RGB的彩色图像分割(MATLAB Based on Bayesian Color Image Segmentation in RGB)
- 2009-10-19 14:54:19下载
- 积分:1
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IMX377CQT_Data-Sheet(E15414A57)_150713
说明: imx377 手册 imx377 datasheet imx377 datasheet(imx377datashee, imx377datasheet,imx377datasheet)
- 2020-06-23 20:00:01下载
- 积分:1
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SLIC
超像素线性分割聚类代码,可以运行,效果比较好,欢迎下载参考(SLIC code)
- 2016-12-09 10:44:50下载
- 积分:1
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鱼眼图像校正
使用经纬坐标方法矫正鱼眼图像,使得畸变后的鱼眼图像提取有效区域并矫正(Orthodontic fish eye image)
- 2017-12-05 15:38:23下载
- 积分:1
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机载正侧视RD
机载正侧视SAR雷达仿真和成像,使用matlab编写,直接运行可用(Simulation and imaging of airborne forward-looking SAR radar)
- 2020-06-17 13:00:02下载
- 积分:1
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facedetectandrecognition-dlib-python3.6
说明: 机器学习专门研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技 能,为包括人脸识别领域的人工智能的发展做出了极大的贡献。本文探索如何应用机器学习中的一些技术,使计算机更好地完成人脸识别领域中的人脸检测和人脸验证。
在人脸检测方面,针对如何快速、准确地检出人脸的问题,基于DLIB中特征模型,可以快速提取检测出人脸,并且提取出人脸特征点,主要作用就是快速检测定位人脸。在训练过程中,引入了ResNet机器学习算法,该算法采用多层卷积神经网络结构,对人脸进行多层特征提取和描述,得到人脸特征描述符。通过测试可以证实了上述方法能够检测和识别人脸。(In terms of face detection, for the problem of how to detect faces quickly and accurately, based on the feature model in DLIB, you can quickly extract and detect faces, and extract face feature points, the main role is to quickly detect and locate faces. In the training process, the VGG-FACE machine learning algorithm is introduced. This algorithm uses a multi-layer convolutional neural network structure to perform multi-layer feature extraction and description on the face to obtain the face feature descriptor. Tests can confirm that the above method can detect and recognize human faces.)
- 2020-05-06 14:33:08下载
- 积分:1