如何在matplotlib python中的白色背景上以不同的随机颜色显示对象? [英] How to display objects in different random colors on a white background in matplotlib python?

问题描述

我有一个图像，其中我有标有数字的对象，例如属于对象 1 的所有像素的值都是 1，依此类推.图像的其余部分为零.

I have an image where i have objects labeled with numbers e.g all the pixels belong to object 1 has the value 1 and so on. Rest of the image is zero.

我想用白色背景看到每个具有不同随机颜色的对象.

I want to see every object in different random colors with white background.

我尝试了几种颜色贴图，例如灰色、喷射等，但没有一个符合要求，因为它们按顺序将对象从暗到亮着色.

I have tried several color maps like gray,jet etc but none of them meet the requirement because they sequentially color the objects from dark to light.

非常感谢.

推荐答案

使用随机颜色制作自己的颜色图是解决此问题的快速方法:

Make your own colormap with random colors is a quick way to solve this problem:

colors = [(1,1,1)] + [(random(),random(),random()) for i in xrange(255)]
new_map = matplotlib.colors.LinearSegmentedColormap.from_list('new_map', colors, N=256)

第一种颜色是白色，为您提供白色背景.

First color is white, to give you the white background.

完整的代码在起作用:

import scipy
from scipy import ndimage
import matplotlib.pyplot as plt
import matplotlib
from random import random

colors = [(1,1,1)] + [(random(),random(),random()) for i in xrange(255)]
new_map = matplotlib.colors.LinearSegmentedColormap.from_list('new_map', colors, N=256)

im = scipy.misc.imread('blobs.jpg',flatten=1)
blobs, number_of_blobs = ndimage.label(im)

plt.imshow(blobs, cmap=new_map)
plt.imsave('jj2.png',blobs, cmap=new_map)
plt.show()

带有标签的，随机彩色的输出:

Sample labelled, randomly colored output:

希望这对你来说是随机的！

Hope thats random enuff for ya!

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