Description: Matlab图像感兴趣区域编码，这个程序所包括的m代码实现了迭代的图像处理，找出感兴趣区域。并同时输出区域、均值、STD、最小值、最大值、中值、中心点等等。-Matlab region of interest image coding, this procedure covered by the code m realize the iterative image processing, to identify areas of interest. And at the same time the output region, the mean, STD, minimum, maximum, median, center and so on. Platform: |
Size: 107520 |
Author:yy |
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Description: Tutorial GUI to demonstrate basic functionality of various controls on the GUI-This GUI will help the novice user get up to speed very quickly on using GUI-based applications. Everything is laid out in a very simple Step 1, Step 2, Step 3, etc. layout. It is a very good starting point for a typical image analysis application. This application uses GUIDE to do the user interface design, and has most of the basic controls such as buttons, listboxes, checkboxes, radio buttons, scrollbars, etc. It allows the user to select a folder of images, select one or more images and display them, to select a series of options, and to individually or batch process one or more images. The user can optionally apply a mask (region of interest) to the image so that only the area within the mask will be analyzed. The results are optionally sent to Excel. In this demo, I do some very basic particle sizing but in use, the user would replace that simple demo code in the function AnalyzeSingleImage() with their own code. Works with Windows or Unix since paths are all forward slashes. Req Platform: |
Size: 878592 |
Author:zzz |
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Description: 该程序完成的是通过使用所提供的链码（一种方向码）来画出链码所表示的轮廓。所画轮廓在原图上是黑色的线。-the code is used for draw the outline of the region of interest which is show by the chaincode Platform: |
Size: 1024 |
Author:yuting |
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Description: 仿射不变Harris, Laplacian, det(Hessian) and Ridge 特征点检测
参考文献：An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.-Matlab code for detecting Affine spatial interest points. Includes Harris, Laplacian, det(Hessian) and Ridge interest point operators in combination with spatial scale selection based on the extrema of scale-normalized Laplacian and affine adaptation basen on second-moment matrix. Scale and shape adaptation are optional and disjoint.
Zip archive: affintpoints.zip
Ref: An affine invariant interest point detector , K.Mikolajczyk and C.Schmid, ECCV 02, pp.I:128-142.
What is in the package:
1) ineterst point detection of different kinds (Harris, Laplace, det(H), Ridge)
2) scale, shape and position adaptation procedure
3) demo examples and a script for batch-mode computation and saving of the results
what is not in the package:
- no rotation estimation
- no region descriptor computation Platform: |
Size: 901120 |
Author:灵台斜月 |
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