Hi can someone explain grey line profile?

2 次查看（过去 30 天）
pizzaa
pizzaa 2023-6-29
编辑： Rahul 2023-7-13
Hi everyone, so i ve been reading some grey line porfile, i understand that we need to alculate the mean of grey profile of an image,i want to ask about ur perspective about this. And i want to ask how do i calculate all the peaks along plotting mean of line grey profile. Thanks
  1 个评论
Rik
Rik 2023-6-29
It is not clear to me what data you have, what you have tried, and what exact results you want. Have a read here and here. It will greatly improve your chances of getting an answer.

请先登录，再进行评论。

请先登录，再回答此问题。

回答（1 个）

Rahul
Rahul 2023-7-13
编辑：Rahul 2023-7-13
Hi,
The mean gray profile can be calculated by taking the average of the gray values along the line or path of interest. This can be done by sampling the intensity values at regular intervals along the line and then computing their average.
To calculate the peaks along the mean gray profile, you can use various peak detection algorithms or techniques. One common approach is to use the findpeaks function in MATLAB, which can identify local maxima in a given signal.
image = %your image
x1 = 100;
y1 = 200;
x2 = 400;
y2 = 200;
profile = improfile(image, [x1, x2], [y1, y2]);
mean_profile = mean(profile);
[peaks, peak_locations] = findpeaks(mean_profile);
figure;
plot(mean_profile);
hold on;
scatter(peak_locations, peaks, 'r', 'filled');
xlabel('Position');
ylabel('Intensity');
title('Mean Gray Profile with Detected Peaks');
In this code, the improfile function is used to extract the gray values along the specified line from the image. The mean function is then used to calculate the mean gray profile. The findpeaks function is applied to detect the peaks in the mean profile, returning the peak values and their corresponding locations. Finally, the mean gray profile and the detected peaks are plotted.
x1,x2,x3,x4 can be adjusted.
Hope this helps. Thanks.

类别

在 Help Center 和 File Exchange 中查找有关 Descriptive Statistics 的更多信息

标签

Community Treasure Hunt

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

Start Hunting!

Translated by