필터 지우기
필터 지우기

Find knee/elbow of a curve

조회 수: 67 (최근 30일)
pasta pontikaki
pasta pontikaki 2019년 10월 7일
답변: Image Analyst 2019년 11월 27일
Dear all, i splited my image into sub blocks, i counted the aces of each one and then i stored all them into an array,.
Then i made a histogram, on xx' i have all the values of the aces and on yy' i have the number of "how many time every point is appeared"
image 1 histogram
image 2 histogram
Then i did the cumulative function for all the above points. I try to find the knee/elbow point of this cumulative plot.
I used this code but it didn't wokred well ,then i used this code and i have the below results, which i think are quite good. The red curcle is the knee point
image 1 cumulative func
.
image 2 cumulative func
The result is not good for the first image but works for the second.
Does any one know any other solution to find the knee/elbow of the curve? Any other code to be suggested?
Thank you

답변 (3개)

Erick Zhou
Erick Zhou 2019년 11월 27일

Image Analyst
Image Analyst 2019년 11월 27일
To find a knee/elbow/kink in a curve, I prefer the triangle threshold method. The way this intuitive method works is to draw a hypoteneuse from the far bottom (lowest point) to the top (highest point) of the signal curve, and draw lines perpendicular to that hypoteneuse until they intersect the signal curve.. Where the perpendicular line is longest is the x value to use. I attach the triangle method.
You can also see the FAQ: How can I find "kinks" in a curve?

darova
darova 2019년 10월 7일
What about imdilate()?
clc,clear
I = imread('nett.jpg');
I1 = im2bw(I);
I2 = imdilate(I1,ones(20));
Z = 1.0*cat(3,I1,I2,I1*0);
imshow(Z)
nett1.png nett11.png
Then just use bwlabel or something to get blobs (or regionprops to find centers)
  댓글 수: 1
pasta pontikaki
pasta pontikaki 2019년 10월 7일
편집: pasta pontikaki 2019년 10월 7일
i have made one solution for this already.
My professor wants me to make another solution with the elbow curve.

댓글을 달려면 로그인하십시오.

카테고리

Help CenterFile Exchange에서 Histograms에 대해 자세히 알아보기

Community Treasure Hunt

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

Start Hunting!

Translated by