如何传输图像

我想取分这个图像间的像素颜色和位置：如何传输图像

，并将它们转移到美国的这一地图的轮廓：

但我正在努力。

我想用一种方法，从'data.png'中读取非绿色像素的颜色和坐标位置，将它们存储在列表中，然后将这些像素放置到'us_outline.png'基于他们的位置。

这里是我的代码至今：

#IMPORTS 
from __future__ import division 
import math 
import numpy as np 
from PIL import Image 
import matplotlib.pyplot as mplot 

#List of pixels from data.png 
pixels = [] 

height = 140 
width = 200 

#Read in data from data.png 
data = Image.open("data.png") 
data = data.convert('RGB') 

for row in range(0,height): #loops over the number of rows in the image 
    for col in range(0,width): # loops over the number of columns in the current row 
     r,g,b = data.getpixel((row,col)) 
     rgb = [] 
     rgb.append(r) 
     rgb.append(g) 
     rgb.append(b) 
     if rgb != [0,255,0]: 
      pixels.append(rgb)

但这样做在一个错误的结果：IndexError：图像索引超出范围

我也试过这样：

#Convert to float32 format 
data_image = np.float32(data) 

#Reads in data points from data.png and appends them to a list 
for row in range(len(data_image)): #loops over the number of rows in the image 
    for col in range(len(data_image[row])): # loops over the number of columns in the current row 
     pixel = data_image[row][col] #Assigns pixel at row and column to a variable 
     if pixel != [0,255,0,255]: #If pixel is not green (a.k.a it is a data point) 
      pixels.append(pixel) #Set key to the location of pixel and set value to pixel color 

#Read in data from us_outline.png  
img2 = Image.open("us_outline.png") 
usmap = img2.load() 
#Convert to float32 format 
usmap_image = np.float32(usmap) 

#Writes data from pixels list to US map 
for row in range(len(usmap_image)): #loops over the number of rows in the image 
    for col in range(len(usmap_image[row])): # loops over the number of columns in the current row 
     for pixel in range(len(pixels)): 
      if pixels[row][col] == usmap_image[row][col]: 
       usmap_image[row][col] = pixels[row][col] 

usmap_image = np.uint8(usmap_image)

但这样做会导致第21行和第22行出现错误

我也尝试过简单地添加将这两幅图像放在一起，但是这产生了一个奇怪的结果。

我已经尝试了很多方法，我无法弄清楚如何让它工作。请帮忙！

在此先感谢

来源

2017-04-18 Lee Easson

在你的第一段代码，你只需要更换row和col在像素正确读取。 18号线成为

r,g,b = data.getpixel((col, row))

否则，下面这段代码实现你的目标，是一个比较简洁：

import numpy as np 
import matplotlib.pyplot as plt 

# find indices of non-green pixels 
data = plt.imread('data.png') 
green = np.zeros_like(data) 
green[:,:,1] = 1. # plt.imread for some bizarre reason returns rgb values between 0.-1. for the given pngs, not 0-255! 
x, y = np.where(np.any(data != green, axis=-1)) 

# plot non-green pixels on us outline 
us = plt.imread('us_outline.png') 
us[x,y] = data[x,y] 

plt.imshow(us) 
plt.show()

来源

2017-04-19 09:34:21 Paul

如何传输图像

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