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MRF_imgSeg
说明: 是马尔可夫图像分割的C++程序,可以用于遥感图像(It's a C++ program for Markov image segmentation, which can be applied to remote sensing images.)
- 2021-03-18 09:09:19下载
- 积分:1
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打码平台 远程打码 实例源码
C# 远程打码 实例项目源码
- 2013-06-13下载
- 积分:1
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BP
说明: 利用线性规划问题求解稀疏恢复问题的基追踪(basis pursuit,BP)算法,研究了在含有脉冲噪声干扰的原始信号环境下对经典基追踪算法的改进。(basis pursuit (BP) algorithm)
- 2018-06-08 21:40:56下载
- 积分:1
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guided_filter
guided_filter滤波器。对于图像处理方面有用。(filter. It is useful for image processing.)
- 2016-12-07 17:03:33下载
- 积分:1
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test_GS
标准GS相位恢复算法,利用傅里叶变换与反变换进行逼近,直至收敛,误差下降算法。(Standard GS phase recovery algorithm, using Fourier transform and inverse transform approximation, until convergence, error reduction algorithm.)
- 2018-10-29 10:22:31下载
- 积分:1
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matlab
输入一幅图像,用传统的算子方法进行检测与用形态学腐蚀之后使原图像与腐蚀后的图像相减得到图像边缘进行比较(The Mathematical Morphology Image Edge Detection Based on MATLAB)
- 2016-03-31 09:48:33下载
- 积分:1
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0999
卡尔曼滤波是一种数据处理方法,它是一种线性最小方差无偏估计准则,基于系统
状态估计和当前观测,通过引入状态空间而获得的新的状态估计.本篇论文陈述了卡尔曼滤
波的基本思路和算法;并通过仿真,显示卡尔曼滤波的功能,以及如何用它来跟踪方向确定、速度恒定的飞行器。 (Kalman filter is a data processing method, which is a linear minimum variance unbiased estimation criteria, based on system state estimation and the current observations, obtained by introducing the state space of the new state estimate of the Kalman filter thesis statement the basic ideas and algorithms and through simulation, shows Kalman filtering functions, and how to use it to keep track of the direction determined constant speed aircraft.)
- 2013-09-06 10:21:27下载
- 积分:1
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Handbook-of-Machine-Vision
机器视觉手册,讲解详细,非常实用,从基础图像处理算法到复杂视觉算法(handbook of machine vision, very practical, including basic image processing and vision algorithm)
- 2014-11-14 11:28:09下载
- 积分:1
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mi_registration
2维的基于互信息的图像配准算法,使用powell法作为优化算法(2-dimensional mutual information based image registration algorithms, the use of law as the optimization algorithm powell)
- 2020-06-30 10:20:01下载
- 积分:1
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ART_test
一种简单的代数重建算法,用于CT图像二维重建,供初学者学习使用。(A simple algebraic reconstruction algorithm, used in CT image reconstruction, for beginners learning to use.)
- 2020-11-23 16:29:34下载
- 积分:1