Description: 用保距法对图像进行分割，提取图像的边缘。提供了两级阈值化和多级阈值化两种方法。-from France to retain the right image segmentation, image from the brink. The two threshold and multi-level threshold of the two methods. Platform: |
Size: 997238 |
Author:smilefish |
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Description: 用保距法对图像进行分割，提取图像的边缘。提供了两级阈值化和多级阈值化两种方法。-from France to retain the right image segmentation, image from the brink. The two threshold and multi-level threshold of the two methods. Platform: |
Size: 997376 |
Author:smilefish |
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Description: 把地理区域分成一个个小区，蜂窝系统在该区域内提供无线覆盖。把可用的频谱分成很多信道，每个小区分配一组信道。使用频分双工（FDD）。在小区间进行频率利用，N个小区构成一个簇，簇间进行频率复用。定义了传播特性（信道参数）以及同频小区的位置。信道的参数包括：小区半径，路径损耗指数，以分贝为单位的对数正态阴影的标准差，基站发射功率级，移动台发射功率级，每个小区的扇区数，扇区化天线的正反向比，要仿真的瞬时位置的组数，同频干扰阈值。-To a geographical area is divided into small areas, cellular systems in the region to provide wireless coverage. The available spectrum is divided into multi-channel, each plot the distribution of a group of channels. The use of frequency division duplex (FDD). In the district between the frequency of use, N plots constitute a cluster, cluster between frequency reuse. The definition of the propagation characteristics (channel parameters), as well as with the frequency of residential location. Channel parameters include: cell radius, path loss index to decibels for units Lognormal shadow of the standard deviation, the base station transmitter power level, mobile station transmitting power level, the number of sectors in each district, sector of the antenna the pros and cons to the ratio, to the transient simulation of the group a few positions, the same frequency interference threshold. Platform: |
Size: 2048 |
Author:mame |
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Description: 1.本程序功能包含显示直方图，OTSU的单值分割，OTSU的二值分割,OTSU的三值分割
2.在OTSU的分割时，通常情况下我们是通过类间方差得到一个分割阈值，但是有时候我们需要得到各灰度级别的目标，那么采取多值分割是
很必要的，通过改进得到OTSU的多值分割方法
3.本程序另外还有显示直方图，计算程序运行时间，处理结果以新的窗口显示等细节，这部分适合MFC初学者。-1. This procedure shows the histogram feature, OTSU single segmentation, OTSU binary segmentation, OTSU three segmentation 2. OTSU segmentation, it is usually the case we are through the between-cluster variance by a partition threshold , but sometimes we need to be the gray level of the target, then the multi-segmentation is necessary, through improved access to multi-OTSU segmentation methods 3. This procedure in addition to show the histogram to calculate run time, treatment the results of a new window display the details of this part of MFC for beginners. Platform: |
Size: 310272 |
Author:李成 |
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Description: You can use this program to choice how many threshold you need , and you can use the process to change original pictures to multi-layer colors. Platform: |
Size: 1628160 |
Author:akan |
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Description: 摘 要:针对茄子图像的灰度和颜色特点,利用MATLAB中丰富的图像处理函数,分别进行了色差分割和色调分割。在
色调分割中,采用了自动选取阈值的Otsu法。在去除残留噪音的处理中,采用标注的方法对二值图像的各连通区域进行面积
统计。保留最大面积的区域,从而使分割效果大大改善。利用多参数来衡量分割效果,使评价做到最大程度的客观、合理。-Based on the gray- level and color characteristics of eggp lant image, hue and color- difference segmentation were
conducted by using the rich image p rocessing functions embedded inMATLAB. The auto threshold- adap tivemethod ofOtsu operation
was specially used for hue segmentation. And upon the elimination of the residue noise, labelingmethod for statistical calculation was
introduced for the connected regions of the binary image. Themaximum areaswere p reserved to imp rove segmentation effects. In addi2
tion, multi- indiceswere app lied to assess the effect of segmentation, in order to get impersonal and reasonable assessment Platform: |
Size: 565248 |
Author:renyh |
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Description: 对灰度图像进行多级阈值化处理的快速算法， 详尽的描述的快速算法的实现方法。-Pairs of gray-scale image processing multi-level threshold of the fast algorithm, a detailed description of the fast algorithm are implemented. Platform: |
Size: 1009664 |
Author:amyyzxh |
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Description: otsu算法确定二值化阀值，最大类间方差是由日本学者大津(OTSU)于1979年提出的,是一种自适应的阈值确定的方法,又叫大津法,简称OTSU。
-In computer vision and image processing, Otsu s method is used to automatically perform histogram shape-based image thresholding,[1] or, the reduction of a graylevel image to a binary image. The algorithm assumes that the image to be thresholded contains two classes of pixels (e.g. foreground and background) then calculates the optimum threshold separating those two classes so that their combined spread (intra-class variance) is minimal.[2] The extension of the original method to multi-level thresholding is referred to as the Multi Otsu method[3]. Platform: |
Size: 1024 |
Author:白痴 |
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Description: 本次仿真研究多幅度电平信号误码率与信噪比之间的关系，系统框图如上。假设考虑8幅度电平，则根据流程首先需要用一个随机数发生器产生在(0,1)间的均匀随机数，然后将(0,1)区间均匀划分为(0,0.125)、(0.125,0.25)、(0.25,0.375)、(0.375,0.5)、(0.5,0.625)、(0.625,0.75)、(0.75,0.875)、(0.875,1)这些子区间，并分别对应于一个3bit符号000、001、010、011、100、101、110、111，接着分别映射到-7d、-5d、-3d、-d、d、3d、5d、7d幅度电平上。之后高斯随机数与幅度电平叠加(高斯噪声的方差由输入信噪比控制)，生成随机幅度r。通过与判定门限的比较判定r的符号值，然后与输入符号比较，如果不等则认为此符号传送错误。本实验假定进行10000次信号发送，计算发送错误的比例作为仿真误码率。
另外计算对应不同信噪比情况下理论误码率的值，与上述实验进行对比验证。
-The simulation of multi-amplitude level signal bit error rate and the relationship between SNR, the system block diagram above. Assumption consider the magnitude of level 8, then according to the process you first need to use a random number generator in (0,1) uniform random number, then (0,1) interval is divided into uniform (0,0.125), (0.125 , 0.25), (0.25,0.375), (0.375,0.5), (0.5,0.625), (0.625,0.75), (0.75,0.875), (0.875,1) These sub-intervals, and corresponding to a symbol 3bit 000,001,010,011,100,101,110,111, and then are mapped to-7d,-5d,-3d,-d, d, 3d, 5d, 7d on the amplitude level. After the Gaussian random number with the amplitude level overlay (Gaussian noise of variance controlled by the input signal to noise ratio) to generate a random rate r. By comparison with the determined threshold value to determine the sign of r, and then compared with the input symbol, if the range is that this symbol transmission error. This study assumes that the signal sent 10000, send an error Platform: |
Size: 2048 |
Author:ps |
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Description: 支持多最小支持度多层次的关联规则挖掘，数据集为T10I4D100K，多最小支持度阈值为MSchange-Support multiple minimum supports multi-level association rule mining, data set T10I4D100K, more than the minimum support threshold MSchange Platform: |
Size: 1064960 |
Author:姜杉 |
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Description: 基于国外一篇文章写的多级阈值小波去噪程序，需要的可以参考参考，文章也包含在压缩包里面。-Based on an article written by foreign multi-level threshold wavelet denoising procedures, the need may refer to the reference, the article also contained in a compressed archive. Platform: |
Size: 203776 |
Author:陈杰 |
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Description: anny边缘检测算子是John F. Canny于 1986 年开发出来的一个多级边缘检测算法。
Canny边缘检测算法：
step1:用高斯滤波器平滑图象；
step2:用一阶偏导的有限差分来计算梯度的幅值和方向；
step3:对梯度幅值进行非极大值抑制；
step4:用双阈值算法检测和连接边缘。-anny edge detection operator is John F. Canny developed in 1986 out of a multi-level edge detection algorithm. Canny edge detection algorithm: step1: Gaussian smoothing filter image step2: first-order finite difference to calculate partial derivatives of the magnitude and direction of the gradient step3: the gradient magnitude non-maxima suppression step4: use dual-threshold algorithm for detecting and connecting edges. Platform: |
Size: 108544 |
Author:wang |
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