如何使用“在图形中遍历以找到源和目标之间的最短路径；迪克斯特拉'；s算法&x201D；用python？

因此，我有实现Dijkstra算法的代码，该算法在Python3（Python3.8.1）中找到加权图中从源节点到目标节点的最短路径

这就是我想要解决的问题：

也可以通过计算从源到目标的白色像素数来找到最短路径吗

代码：

import itertools
import matplotlib.pyplot as plt
from scipy import ndimage
from scipy import misc
from scipy.sparse.dok import dok_matrix
from scipy.sparse.csgraph import dijkstra

# Load the image from disk as a numpy ndarray
original_img = plt.imread('map.bmp')

# Create a flat color image for graph building:
img = original_img[:, :, 0] + original_img[:, :, 1] + original_img[:, :, 2]


# Defines a translation from 2 coordinates to a single number
def to_index(y, x):
    return y * img.shape[1] + x


# Defines a reversed translation from index to 2 coordinates
def to_coordinates(index):
    return index / img.shape[1], index % img.shape[1]


# A sparse adjacency matrix.
# Two pixels are adjacent in the graph if both are painted.
adjacency = dok_matrix((img.shape[0] * img.shape[1],
                        img.shape[0] * img.shape[1]), dtype=bool)

# The following lines fills the adjacency matrix by
directions = list(itertools.product([0, 1, -1], [0, 1, -1]))
for i in range(1, img.shape[0] - 1):
    for j in range(1, img.shape[1] - 1):
        if not img[i, j]:
            continue

        for y_diff, x_diff in directions:
            if img[i + y_diff, j + x_diff]:
                adjacency[to_index(i, j),
                          to_index(i + y_diff, j + x_diff)] = True

# We chose two arbitrary points, which we know are connected
source = to_index(14, 47)
target = to_index(151, 122)

# Compute the shortest path between the source and all other points in the image
_, predecessors = dijkstra(adjacency, directed=False, indices=[source],
                           unweighted=True, return_predecessors=True)

# Constructs the path between source and target
pixel_index = target
pixels_path = []
while pixel_index != source:
    pixels_path.append(pixel_index)
    pixel_index = predecessors[0, pixel_index]


# The following code is just for debugging and it visualizes the chosen path


plt.imshow(original_img)
plt.show()

输入

输出

我需要弄清楚，请帮帮我

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谢谢

您可以通过检查每个像素将图像转换为图形，如果是白色，如果是，它的相邻像素是什么。您能详细说明一下吗，我是这个领域的新手。而且我正在使用枕头进行图像处理，mathplotlib进行打印。我无法在现有图形上绘制路径，我该怎么做？嗨！欢迎来到SO。请在代码示例中包含您自己的尝试。以及我们需要帮助您的任何输入和输出（以可编辑的形式）。