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pca
运用pca算法降维，提取主要特征值，从而达到降维目的(Dimensionality reduction using pca algorithm, extract the main features of the value of)
- 2020-12-18 01:39:12下载
- 积分：1
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二值图像连通区域的标记
说明： 使用MATLAB提取二值图像特征值，并对连通区域进行标记、分析与计算(MATLAB is used to extract the binary image feature values, and mark, analyze and calculate the connected area)
- 2020-08-22 10:43:20下载
- 积分：1
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ch1程序与数据
说明： 本例程可以通过肤色进行人脸检测，同时包含一些对图像的基本处理方法，并集成了人脸识别的GUI界面。(This routine can detect face by skin color, and also includes some basic processing methods for image, and integrates GUI interface of face recognition.)
- 2021-03-17 14:52:54下载
- 积分：1
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BIANYUANTIQU
进行基于绝缘子边缘检测与提取,能识别绝缘子裂纹的故障,通用性蛮好(Insulator-based edge detection and extraction, to identify cracks insulator failure, versatility fine)
- 2020-10-07 20:27:38下载
- 积分：1
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segmentation-superpixel
超像素分割方法，在计算机视觉领域，图像分割（Segmentation）指的是将数字图像细分为多个图像子区域（像素的集合）（也被称作超像素）的过程。超像素有一系列位置相邻且颜色、亮度、纹理等特征相似的像素点组成的小区域。这些小区域大多保留了进一步进行图像分割的有效信息，且一般不会破坏图像中物体的边界信息。(Super pixel Segmentation method, in the field of computer vision, image Segmentation, Segmentation) refers to the digital image Segmentation region for multiple image sequence (the set of pixels) (also known as the pixels) process. Adjacent pixels have a series of position and features such as color, brightness, texture similar to that of small region composed of pixels. Most of these small area retains the further effective information for image segmentation, and generally does not destroy the boundary of the object in the image information.)
- 2015-03-31 15:58:59下载
- 积分：1
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tvreg
全变差图像处理方法，利用全变差做图像去噪、去卷积和修复(The tvreg package is a collection of MATLAB functions for total variation (TV) based image denoising, deconvolution, and inpainting, and an implementation of Chan-Vese segmentation)
- 2009-12-20 16:47:54下载
- 积分：1
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sift_0_9
sift算法0.9版；对数据进行提取后聚类；采用聚类算法k-means(sift algorithm version 0.9 right after extracting the data clustering using k-means clustering algorithm)
- 2009-10-07 18:04:10下载
- 积分：1
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535097
802,15,4a 信道程序,为无线通信协议802,15,4a 建模,(802,15,4 a channel program, 802,15,4 a modeling of wireless communication agreement.)
- 2017-07-30 23:51:35下载
- 积分：1
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PCA
主成分分析 （ Principal Component Analysis ， PCA ）或者主元分析。是一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值，形成一个 n ′ m 的数据矩阵， n 通常比较大。对于一个由多个变量描述的复杂事物，人们难以认识，那么是否可以抓住事物主要方面进行重点分析呢？如果事物的主要方面刚好体现在几个主要变量上，我们只需要将这几个变量分离出来，进行详细分析。但是，在一般情况下，并不能直接找出这样的关键变量。这时我们可以用原有变量的线性组合来表示事物的主要方面， PCA 就是这样一种分析方法。(Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical method to grasp the principal contradiction of things, it can be resolved diverse things out the main factors, revealing the essence of things, simplifying complex problems. The purpose of calculating the main component of high-dimensional data is projected to a lower dimensional space. Given n variables of m observations, forming an n ' m of the data matrix, n is usually large. For a complex matters described by several variables, it is difficult to know, so if you can grab something to focus on key aspects of analysis? If the main aspects of things just reflected on several key variables, we only need to separate out these few variables, for detailed analysis. However, in general, does not directly identify this critical variables. Then we can represent the major aspects of things with a linear combination of the original variables, PCA is one such analysis.)
- 2021-01-28 21:48:40下载
- 积分：1
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LD24_SlimeWorld_ProjectFile
好东西，下下来看就知道了好东西，下下来看就知道了(Good things, under the terms of the next good thing to know, under the circumstances of view to know)
- 2013-11-18 08:52:20下载
- 积分：1
