from PIL import Image,ImageFilter

 Diff_radius = 500

 diff_min = 150

 r_h, g_h, b_h = 43, 55, 66

 image = Image.open('test.png')

 image_width = image.size[0]

 image_height = image.size[1]

 rgb_im = image.convert('RGB')

 img_sharpen = image.filter(ImageFilter.SHARPEN)

 img_new = Image.new('RGBA', image.size, (255,255,255,255))

 img_copy = img_sharpen.crop((0,0,image_width,image_height))

 img_new.paste(img_copy, (0,0,image_width,image_height))

 y_tmp = 0

 for y in range(image_height):

     #y_is_black = 0

     current_line_flag_acc = 0

     for x in range(image_width):

         r, g, b = rgb_im.getpixel((x, y))

         if ((r_h-r)**2 + (g_h-g)**2 + (b_h-b)**2) < Diff_radius :

             current_line_flag_acc = current_line_flag_acc + 1

     if current_line_flag_acc > diff_min :

         #y_is_black = 1

         img1 = img_new.crop((0,y_tmp-2,image_width,y_tmp-1))

         img_new.paste(img1, (0,y,image_width,y+1))

         # print('y_tmp:%d -> y:%d'%(y_tmp,y))

     else:

         y_tmp = y

 # img_save = img_new.filter(ImageFilter.GaussianBlur(radius=1.5))

 img_new.save('test_1.png')

 print("done!")