在Python或MATLAB中从等高线图中提取数据

时间:2017-06-08 11:33:54

标签: python matlab image-processing matlab-figure contour

我有一个这样的轮廓图:

a sample contour plot

现在,如果我没有生成轮廓图的数据,而我只有图像,如何从图像中提取每个像素的值并将其存储在一个数组?

MATLAB / Python中的任何建议或示例都会有所帮助!

2 个答案:

答案 0 :(得分:0)

如果您知道像素值,使用查找,您可以找到所需的位置。

I = imread('y5dZ1.png');
I1 = rgb2gray(I) ;
%%
pix = [48 : 10 : 200] ;
[y,x] = find(I1==200) ;

imshow(I)
hold on
plot(x,y,'.r')

答案 1 :(得分:0)

这是一个小型的Matlab脚本,可以完成这项工作(使用一些GUI,在图的斜角处读取指南):

%// Import the data:
imdata = importdata('your_picture_file');
Gray = rgb2gray(imdata.cdata);
colorLim = [-1 1]; %// this should be set manually
%// Get the area of the data:
f = figure('Position',get(0,'ScreenSize'));
imshow(imdata.cdata,'Parent',axes('Parent',f),'InitialMagnification','fit');
%// Get the area of the data:
title('Click with the cross on the most top left area of the *data*')
da_tp_lft = round(getPosition(impoint));
title('Click with the cross on the most bottom right area of the *data*') 
da_btm_rgt = round(getPosition(impoint));
dat_area = double(Gray(da_tp_lft(2):da_btm_rgt(2),da_tp_lft(1):da_btm_rgt(1)));
%// Get the area of the colorbar:
title('Click with the cross within the upper most color of the *colorbar*')
ca_tp_lft = round(getPosition(impoint));
title('Click with the cross within the bottom most color of the *colorbar*')
ca_btm_rgt = round(getPosition(impoint));
cmap_area = double(Gray(ca_tp_lft(2):ca_btm_rgt(2),ca_tp_lft(1):ca_btm_rgt(1)));
close(f)
%// Convert the colormap to data:
data = dat_area./max(cmap_area(:)).*range(colorLim)-abs(min(colorLim));

现在,data就是你要找的。

以下是使用问题中图形的输出说明:

enter image description here

插图的代码:

figure('Position',[100 200 1200 400]);
subplot 121
imshow(imdata.cdata)
hold on
plot(da_tp_lft(1),da_tp_lft(2),'m+','MarkerSize',7,'LineWidth',2)
plot(da_btm_rgt(1),da_btm_rgt(2),'m+','MarkerSize',7,'LineWidth',2)
plot(ca_tp_lft(1),ca_tp_lft(2),'r+','MarkerSize',7,'LineWidth',2)
plot(ca_btm_rgt(1),ca_btm_rgt(2),'r+','MarkerSize',7,'LineWidth',2)
hold off
title('The original image')

subplot 122
surf(data)
shading interp
view(50,40)
colorbar
caxis([-1 1])
title('Illusration of the data')
axis tight