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Matlabimage
Matlab在医学图像处理中的应用Study on Image Processing of the Lung Cancer and Bone by Using MATLAB
(Study on Image Processing of the Lung Cancer and Bone by Using MATLAB
)
- 2011-01-05 21:43:40下载
- 积分：1
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基于BP神经网络的人脸识别(java源码)
基于BP神经网络的人脸识别(java源码)
- 2019-12-10下载
- 积分：1
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GM
说明： 残差灰色模型的改进算法。可以得到高精确度的预测，很实用，并附有测试文件(Improved algorithm for gray model residuals. Can be predicted with high accuracy, very practical, with a test file)
- 2011-06-04 22:20:10下载
- 积分：1
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filter
说明： 用matlab编写界面，并实现图像的方向滤波和同态滤波，实用方便，效果较好(Matlab prepared to use interface, and the realization of the direction of image filtering and homomorphic filtering, practical convenience, better)
- 2008-11-23 20:42:43下载
- 积分：1
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人眼定位
说明： 人眼定位的matlab代码，使用模板匹配的方法实现(Eye location matlab code, using the template matching method)
- 2020-12-17 12:49:11下载
- 积分：1
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RVM-hyperspectral
基于相关向量机的高光谱图像分类算法，functions中是用到的函数，另一个文件夹是主程序。(RVM hyperspectral image classification algorithm, functions are functions used, another folder is the main program.)
- 2017-02-16 12:53:51下载
- 积分：1
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RANSAC+SURF
说明： 基于SURF算法实现图像特征提取与描述，使用RANSAC进行图像细配准(SURF algorithm was used to extract and describe image features, and RANSAC was used for image registration)
- 2021-03-03 15:09:33下载
- 积分：1
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xiaobobao2
小波包程序2，能够对信号进行特征提取，有利于初学者。(This is a wavelet packet program 2，which is useful for the beginners.)
- 2014-04-24 20:42:14下载
- 积分：1
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EDLines 快速直线检测算子
EDLines是一种快速直线检测算子，2012年在ICCV上提出，也是目前处理直线检测最快的算法之一，该算法包含三个步骤：（1）边缘提取：利用Edge Drawing (ED)算法[28,29]从灰度图像中提取边缘片段；（2）线段检测：利用最小二乘法提取直线段；（3）线段确认：遵循Helmholtz定律，从已提取的直线段中摒弃虚假线段。EDLines算法的优越性得益于Edge Drawing (ED)算法能够从灰度图像中准确、快速、稳定地提取出光滑、完整的边缘片段。Edge Drawing (ED)算法包含以下步骤：
（1）采用size=5*5,σ=1的高斯核对灰度图像进行平滑滤波，去除噪声；
（2）采用一种常用的梯度算子，如Prewitt、Sobel或Scharr等计算平滑后图像中每个像素点的梯度幅度和梯度方向；
（3）将梯度图中邻域内幅度最大的像素点标记为锚点，这些锚点成为图像边缘点(edge elements)的概率很大；
（4）将相邻的锚点连接成边缘线。从一个锚点起始，ED利用相邻像素的梯度幅度和方向在梯度为最大值的锚点之间游走。
(Edge Drawing (ED) is our recently-proposed, novel, fast edge detection algorithm. What makes ED stand out
the existing edge detectors, e.g., Canny, is the following: While the other edge detectors give out a binary
edge image as output, where the etected edge pixels are usually independent, discontinuous entities ED produces a
set of edge segments, which are clean, contiguous, i.e., connected, chains of edge pixels. Thus, while the output of
the other edge detectors requires urther processing to generate potential object boundaries, which may not even be
possible or result in inaccuracies ED not only produces perfectly connected object boundaries by default, but it also achieves this in blazing speed compared to other edge detector.)
- 2021-03-22 16:29:16下载
- 积分：1
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Project_report
Image Inpainting for object removal project report
- 2014-01-07 18:52:08下载
- 积分：1
