如何使用python在此圖像中查找矩形形狀？

Question

enter image description here你能幫我分割這個圖像中的矩形對象，試過otsu但它不工作，因爲背景和forground具有相同的值。

有沒有其他方法可以做到這一點。

有人可以告訴我如何在這些圖像中找到矩形對象嗎？ 圖像是canny邊緣檢測的結果。其實我想在視頻中跟蹤這些矩形，如果你知道怎麼做，請告訴我。 或者至少我想找出一個矩形是否存在。 enter image description here

Answer 1

您可以查看像素的行和列。例如，矩形的頂部邊框行包含比上述行更多的黑色像素。所以我建議你使用垂直（通過行）和水平（通過列）來查找邊界。這是我的腳本來做到這一點：

from PIL import Image 

FACTOR = 1.5 # a threashold 

img = Image.open("path/to/your/image") 
pix = img.load() 
size = img.size 

# vertical pass 
sum_color_arr = [] 
for row_num in xrange(size[1]): 
    sum_color = 0 # calculating of brightness for each row separately 
    for i in xrange(size[0]): 
     sum_color += pix[i, row_num] 
    sum_color_arr.append(sum_color) 

for row_num in xrange(size[1] - 1): 
    if sum_color_arr[row_num] > FACTOR * sum_color_arr[row_num + 1]: 
     print "Top border: y =", (row_num + 1) 
    if sum_color_arr[row_num + 1] > FACTOR * sum_color_arr[row_num]: 
     print "Bottom border: y =", row_num 

# horizontal pass 
sum_color_arr = [] 
for col_num in xrange(size[0]): 
    sum_color = 0 # calculating of brightness for each column separately 
    for i in xrange(size[1]): 
     sum_color += pix[col_num, i] 
    sum_color_arr.append(sum_color) 

for col_num in xrange(size[0] - 1): 
    if sum_color_arr[col_num] > FACTOR * sum_color_arr[col_num + 1]: 
     print "Left border: x =", (col_num + 1) 
    if sum_color_arr[col_num + 1] > FACTOR * sum_color_arr[col_num]: 
     print "Right border: x =", col_num