after we obtain a binary image ...is there any way to strong the edge??

1 次查看（过去 30 天）

sara 2014-9-15

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/154864-after-we-obtain-a-binary-image-is-there-any-way-to-strong-the-edge

评论： Image Analyst 2014-9-17

hi after we obtain a binary image with edge for example with otsu method ...is there any way to strengthen these edges??

8 个评论
显示 6更早的评论隐藏 6更早的评论

Iain 2014-9-17

strengthen = to make stronger

strong, used like sara used it could equally have been a typo for storing as well as "make stronger"

sara 2014-9-17

thanks lain

请先登录，再进行评论。

请先登录，再回答此问题。

回答（2 个）

Image Analyst 2014-9-15

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/154864-after-we-obtain-a-binary-image-is-there-any-way-to-strong-the-edge#answer_151805

在 MATLAB Online 中打开

To make edges more contrasty, use a high boost filter:

kernel = [-1,-1,-1;-1,17,-1;-1,-1,-1]/9;
highBoostFilteredImage = imfilter(double(grayImage), kernel);
imshow(highBoostFilteredImage, []);

That's one way, anyway. There are others.

2 个评论
显示无隐藏无

Image Analyst 2014-9-16

After reading your "Answer" I really don't know what you want to do. Perhaps you can find a paper here that did the same thing you would like to do: http://www.visionbib.com/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models

sara 2014-9-17

thanks Image Analyst after obtaining enough information I will come back soon and ask my question in a clear way.

请先登录，再进行评论。

sara 2014-9-16

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/154864-after-we-obtain-a-binary-image-is-there-any-way-to-strong-the-edge#answer_151927

在 MATLAB Online 中打开

thanks Image Analyst and Salaheddin Hosseinzadeh

dear Image Analyst with your guidance and some modification that I did , I obtain a better result..but if you see there is a lesion around lung .I thouth if I use a filter that strong the edge maybe the result is better ...I used your seggustion

if true
 kernel = [-1,-1,-1;-1,17,-1;-1,-1,-1]/9;
highBoostFilteredImage = imfilter(double(grayImage), kernel);
imshow(highBoostFilteredImage, []); 
end

but I think it is not a good idea...Image Analyst and Salaheddin Hosseinzadeh do you have a good idea?