本文介绍了如何填充渐变颜色从浅黄色到深黄色?的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
使用matlab,我不知道如何补丁可以使渐变色垂直在这张图片。这里我只想要一个简单的颜色渐变。我使用bwboundaries来捕捉边缘函数并填充纯色,如下所示:
for i = 1:4
input = imread(['heartspline2_4 _',num2str(i)],'bmp');
figure,imshow(input);
BW = im2bw(input,graythresh(input));
[B,L] = bwboundaries(BW,'noholes');
for k = 1:length(B)
boundary = B {k};
plot(boundary(:,2),boundary(:,1),'k','LineWidth',2);
fvc = [1 1 0; 1 0 0; 0 0 1];
hold on;
axis off;
if(k == 1)
patch(boundary(:,2),boundary(:,1),'w');
else
p = patch(boundary(:,2),boundary(:,1),'y');
end
end
saveas(gca,['y _','heartspline2_4 _',num2str(i)],'bmp')
close(gcf)
end
解决方案
With matlab, I don't know how patch can make gradient color vertically in this picture. Here I just want a simple color gradient. I have used bwboundaries to catch the edge function and fill pure color just like this:
for i=1:4
input=imread(['heartspline2_4_',num2str(i)],'bmp');
figure,imshow(input);
BW=im2bw(input,graythresh(input));
[B,L]=bwboundaries(BW,'noholes');
for k=1:length(B)
boundary=B{k};
plot(boundary(:,2),boundary(:,1),'k','LineWidth',2);
fvc=[1 1 0;1 0 0;0 0 1];
hold on;
axis off;
if (k==1)
patch(boundary(:,2),boundary(:,1),'w');
else
p=patch(boundary(:,2),boundary(:,1),'y');
end
end
saveas(gca,['y_','heartspline2_4_',num2str(i)],'bmp')
close(gcf)
end
解决方案
Following Shai's code in his answer in your other question:
%% Load image %%
close all; clear all; clc;
img = imread('https://i.stack.imgur.com/yO8Nd.jpg'); %// read image
bw = img(:,:,1) > 128; %// convert to binary mask
lb = bwlabel(bw,4); %// extract distinct regions
%%
%% Create as many colors as needed
% example: 2
cmap=rand(2,3); % make this yellow if needed
% lets convert to HSV, we can tune the intesity of the image better here
cmap=rgb2hsv(cmap);
% for each color, lets crate a set of colors.
for ii=1:size(cmap,1);
colors{ii}= [cmap(ii,1)*ones(1,size(img,2)); cmap(ii,2)*ones(1,size(img,2)); linspace(0.3,1,size(img,2))].';
% Modify the limits of linspace
% to achieve control over the limits
end
% Now we have the colors, lets create an image of vertical colors and mask
% it
cimage=zeros(size(img,1),size(img,2),3); % empthy color image
finalimage=cimage;
for ii=1:size(colors,2)
colors{ii}=hsv2rgb(colors{ii});
cimage=permute(reshape(repmat(colors{ii},[size(img,1),1,1]),[size(img,2),size(img,1),3]),[2,1,3]); % there is probably a simpler way
finalimage=finalimage+cimage.*repmat((lb==ii),[1 1 3]);
end
figure; imshow(finalimage, [], 'border', 'tight');
If you understand the code properly, you will be able to do it for vertical gradient. I accidentally did horizontal, but should be alright. The code is commented, but do not hesitate to ask. The steps are the following
- Create random colors, as many as desired. In this case 2
- convert to HSV
- Create a range of
V
values, that represent "light" - Repeat that list of colors for every row on the image
- mask it with the labels to just add it to the areas of that label
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