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grid-segmentation

于 2020-07-04 发布文件大小:530KB

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下载积分: 1 下载次数: 146

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代码说明：

图像分割--用matlab实现图像的自动多阈值分割 (Image segmentation- Image by matlab automatic multi-threshold segmentation)

文件列表：

grid segmentation
.................\data1
.................\.....\result

.................\readme.txt,249,2008-09-25
.................\ridge
.................\.....\bwridgecenter.m,796,2008-09-25
.................\.....\DepthMeature.m,344,2008-09-24
.................\.....\DrawEllipse.m,1465,2008-09-25
.................\.....\dspimalpha.m,184,2008-09-24
.................\.....\dspimanalys.m,1705,2008-09-25
.................\.....\dspimcat.m,354,2008-09-25
.................\.....\gray2bw.m,303,2008-09-24
.................\.....\im_hessangle2.m,622,2008-03-25
.................\.....\im_hessstrflt2.m,501,2005-12-26
.................\.....\im_scalablehess2.m,742,2008-03-25
.................\.....\MarkPseudoBlob.m,576,2008-09-24
.................\.....\ModifyWaterShed.m,519,2008-09-24
.................\.....\nonmaxsup.m,6586,2005-12-09
.................\.....\RemovePseudoContour.m,319,2008-09-24
.................\startup.m,67,2008-09-24
.................\test.m,3119,2008-09-25
.................\Thumbs.db,29696,2008-03-22

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基于帧差法多目标跟踪Matlab代码
非常完整的帧差法多目标跟踪Matlab代码，并提供了完整的文档介绍，非常适合初学者学习。注：运行时要改一下文件路径，以及把视频文件转成图像序列输入。(Very complete frame difference method, multi-target tracking Matlab code, and provides a complete documentation, very suitable for beginners to learn. Note: at run time, you change the file path, and the video file is converted to an image sequence)

2017-08-31 10:13:00下载

积分：1
miyao
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2009-06-28 10:11:45下载

积分：1
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基于IHS变换的图像融合matlab程序，基于IHS变换和小波帧变换的图像融合matlab程序。(IHS transform based image fusion matlab program, based on the IHS transform and wavelet frame transform matlab image fusion procedures.)

2008-04-26 14:46:23下载

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较简易的视频目标跟踪算法，有需要的朋友可参考(Than simple video target tracking algorithm, there is a need to refer to a friend)

2009-04-15 08:43:06下载

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本算法在Matlab2008b 环境下实现。包括main,san 和ssd 三个函数。这次实现的算法并不是比较两个已经知道的点是否匹配，而是已知一个图形中的特征点，在另外一个图像中找到与其最匹配的点，匹配度用SAD 或者SSD 来度量。 main.m 是程序的入口，包括生成和读入实验数据，调用sad 函数和ssd 函数求匹配点，最后绘制出最后的结果。sad.m 是用sad 度量方法在另一图中求解匹配点的函数实现，有3 个参数 y=sad(x,image1,image2)。其中x 是代匹配的数据，image1 是图像1 数据，image2 是图像2 数据。从理论上分析，ssd 比sad 算法要复杂一点，经过测试，在一幅640*480 的图像中寻找10 个匹配点数据SAD 用时25.062519 秒，SSD 用时25.291432 秒。(The algorithm Matlab2008b environment to achieve. Including the main, san, and ssd three functions. The implementation of the algorithm is not the point of comparing two matches already know, but the known feature points in a graphic, an image found in the other match with the most points, matching measured with the SAD or SSD. main.m is the entry, including the generation and reading test data, call the sad ssd function evaluation functions and matching points, and finally draw the final result. sad.m measure is sad figure in another match point in the function implementation to solve, there are three parameters y = sad (x, image1, image2). Where x is the generation of matching data, image1 is the data image 1, image2 is the image 2 data. From the theoretical analysis, ssd little more complicated than the sad algorithm, tested in a 640* 480 images of 10 match points in the search for data using time 25.062519 seconds SAD, SSD with time 25.291432 seconds. )

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