get values proportional to most occurence

2 次查看(过去 30 天)
here is my code
%Display the transform axes(handles.axes14); imshow(imadjust(mat2gray(H)),[],'XData',theta,'YData',rho,... 'InitialMagnification','fit'); xlabel('\theta (degrees)'), ylabel('\rho'); axis on, axis normal, hold on; x=theta(P(:,2)); [occ,ent]=hist(x,unique(x));
this will give me 1000 peaks as i chose 1000 for peaks
now i want to only filter out values which have an occurence more than 10 for a certain value of theta. i am quite new to matlab.
so that these are the values that are plotted on the matrix and not all the peaks are plotted on the matrix.
if you understand what i am trying to explain
y = rho(P(:,1)); plot(x,y,'s','color','red');
  1 个评论
Gautam Vallabha
Gautam Vallabha 2011-3-29
Please don't include extraneous material in your question (such as the IMSHOW and PLOT statements).
I assume your question is that you have:
[occ,ent] = hist(x, unique(x));
and you want to only extract those values of ENT where OCC > 10.

请先登录,再进行评论。

采纳的回答

Gautam Vallabha
Gautam Vallabha 2011-3-29
You can use the FIND command to identify indices that match a criterion. For example:
x = ceil(rand(1,5000)*100); % make some sample data
[occ,ent] = hist(x,unique(x)); % get the counts
Find indices where occurrences are greater than 10
indices = find(occ > 10);
Extract the associated entries
filteredOccurreces = occ(indices);
filteredEntries = ent(indices);

更多回答(1 个)

Jack
Jack 2011-3-30
Thanks
i already figured it out. i used the same command you said i got it from this site so i used that to get values which occured the most. i joined occ and ent on each column for same variable so row 1 will show entry and the number of occurance. i then look for most occurance and get the corresponding column number of the entry. place the values in a new variable.
then i place x and y in 2 row variable so i can look for the theta value in x and get the corresponding y value then separate the x and y variable and then plot it on the matrix.

类别

Help CenterFile Exchange 中查找有关 Data Distribution Plots 的更多信息

产品

Community Treasure Hunt

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

Start Hunting!

Translated by