试用软件

How to use The Minimum Error Thresholding method for CT images using Matlab?

4 次查看（过去 30 天）

显示更早的评论

elham 2019-1-1

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/437846-how-to-use-the-minimum-error-thresholding-method-for-ct-images-using-matlab

编辑： elham 2019-1-1

采纳的回答： Matt J

I want to implement the method of "Minimum Error Threshold - By J. Kittler and J. Illingworth" for CT images to finding the best threshold for segmentation in Matlab. So, I found the following code that is written using sundus. However, in CT images typical Hounsfield Unit values are between -1000 : >1000.

So, How Can I set the range of the threshold for CT images using that function and is there any code of "Kittler" for CT images?

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Matt J 2019-1-1

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/437846-how-to-use-the-minimum-error-thresholding-method-for-ct-images-using-matlab#answer_354588

编辑：Matt J 2019-1-1

在 MATLAB Online 中打开

You could pre-map your input image to have the intensity range expected by your code using imadjust,

J = imadjust(I,[low_in high_in],[low_out high_out])

0 个评论
显示 -2更早的评论隐藏 -2更早的评论

请先登录，再进行评论。

更多回答（0 个）

请先登录，再回答此问题。

类别

Image Processing and Computer Vision Image Processing Toolbox Image Segmentation and Analysis Image Segmentation Image Thresholding

在 Help Center 和 File Exchange 中查找有关 Image Thresholding 的更多信息

标签

产品

Image Processing Toolbox

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Translated by

试用软件