使用GrabCut删除背景

Question

I use this kind of images for this process   我需要在没有用户交互的情况下从此类图像中删除背景。背景是指不包括在蛇上的区域，因此最终结果仅是蛇和黑色背景。 下面的代码可以做到这一点，但需要用户交互。当运行此代码系统的用户要求做各种各样的事情以获得输出时，最后我需要在用户运行代码并自动在Snake周围绘制一个矩形并使用该矩形系统时后台删除过程。任何帮助将不胜感激。

from __future__ import print_function

import numpy as np
import cv2 as cv
import sys
from matplotlib import pyplot as plt
import os


BLUE = [0,0,255]        # rectangle color
RED = [255,0,0]         # PR BG
GREEN = [0,255,0]       # PR FG
BLACK = [0,0,0]         # sure BG
WHITE = [255,255,255]   # sure FG

DRAW_BG = {'color' : BLACK, 'val' : 0}
DRAW_FG = {'color' : WHITE, 'val' : 1}
DRAW_PR_FG = {'color' : GREEN, 'val' : 3}
DRAW_PR_BG = {'color' : RED, 'val' : 2}

# setting up flags
rect = (0,0,1,1)
drawing = False         # flag for drawing curves
rectangle = False       # flag for drawing rect
rect_over = False       # flag to check if rect drawn
rect_or_mask = 100      # flag for selecting rect or mask mode
value = DRAW_FG         # drawing initialized to FG
thickness = 3           # brush thickness

def onmouse(event,x,y,flags,param):
    global img,img2,drawing,value,mask,rectangle,rect,rect_or_mask,ix,iy,rect_over

    # Draw Rectangle
    if event == cv.EVENT_RBUTTONDOWN:
        rectangle = True
        ix,iy = x,y

    elif event == cv.EVENT_MOUSEMOVE:
        if rectangle == True:
            img = img2.copy()
            cv.rectangle(img,(ix,iy),(x,y),BLUE,2)
            rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y))
            rect_or_mask = 0

    elif event == cv.EVENT_RBUTTONUP:
        rectangle = False
        rect_over = True
        cv.rectangle(img,(ix,iy),(x,y),BLUE,2)
        rect = (min(ix,x),min(iy,y),abs(ix-x),abs(iy-y))
        rect_or_mask = 0
        print(" Now press the key 'n' a few times until no further change \n")

    # draw touchup curves

    if event == cv.EVENT_LBUTTONDOWN:
        if rect_over == False:
            print("first draw rectangle \n")
        else:
            drawing = True
            cv.circle(img,(x,y),thickness,value['color'],-1)
            cv.circle(mask,(x,y),thickness,value['val'],-1)

    elif event == cv.EVENT_MOUSEMOVE:
        if drawing == True:
            cv.circle(img,(x,y),thickness,value['color'],-1)
            cv.circle(mask,(x,y),thickness,value['val'],-1)

    elif event == cv.EVENT_LBUTTONUP:
        if drawing == True:
            drawing = False
            cv.circle(img,(x,y),thickness,value['color'],-1)
            cv.circle(mask,(x,y),thickness,value['val'],-1)

if __name__ == '__main__':

    # print documentation
    print(__doc__)

    # Loading images
    if len(sys.argv) == 2:
        filename = sys.argv[1] # for drawing purposes
    else:
        print("No input image given, so loading default image, .. \n")
        print("Correct Usage: python grabcut.py <filename> \n")

        filename ='a1.jpg'

    img = cv.imread(filename)
    img = cv.resize(img, (800,400))
    cv.imwrite('resized_img.png',img)
    img = cv.fastNlMeansDenoisingColored(img,None,10,10,7,21)
    cv.imwrite('Denoised_image.png',img)
    img2 = img.copy()                               # a copy of original image
    mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
    output = np.zeros(img.shape,np.uint8)           # output image to be shown

    # input and output windows
    cv.namedWindow('output')
    cv.namedWindow('input')
    cv.setMouseCallback('input',onmouse)
    cv.moveWindow('input',img.shape[1]+10,90)

    print(" Instructions: \n")
    print(" Draw a rectangle around the object using right mouse button \n")

    while(1):

        cv.imshow('output',output)
        cv.imshow('input',img)
        k = cv.waitKey(1)

        # key bindings
        if k == 27:         # esc to exit
            break
        elif k == ord('0'): # BG drawing
            print(" mark background regions with left mouse button \n")
            value = DRAW_BG
        elif k == ord('1'): # FG drawing
            print(" mark foreground regions with left mouse button \n")
            value = DRAW_FG
        elif k == ord('2'): # PR_BG drawing
            value = DRAW_PR_BG
        elif k == ord('3'): # PR_FG drawing
            value = DRAW_PR_FG
        elif k == ord('s'): # save image
            bar = np.zeros((img.shape[0],5,3),np.uint8)
            res = np.hstack((img2,bar,img,bar,output))
            res = np.hstack((output))
            cv.imwrite('grabcut_img.png',res)
            print(" Result saved as image \n")
        elif k == ord('r'): # reset everything
            print("resetting \n")
            rect = (0,0,1,1)
            drawing = False
            rectangle = False
            rect_or_mask = 100
            rect_over = False
            value = DRAW_FG
            img = img2.copy()
            mask = np.zeros(img.shape[:2],dtype = np.uint8) # mask initialized to PR_BG
            output = np.zeros(img.shape,np.uint8)           # output image to be shown
        elif k == ord('n'): # segment the image
            print(""" For finer touchups, mark foreground and background after pressing keys 0-3
            and again press 'n' \n""")
            if (rect_or_mask == 0):         # grabcut with rect
                bgdmodel = np.zeros((1,65),np.float64)
                fgdmodel = np.zeros((1,65),np.float64)
                cv.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv.GC_INIT_WITH_RECT)
                rect_or_mask = 1
            elif rect_or_mask == 1:         # grabcut with mask
                bgdmodel = np.zeros((1,65),np.float64)
                fgdmodel = np.zeros((1,65),np.float64)
                cv.grabCut(img2,mask,rect,bgdmodel,fgdmodel,1,cv.GC_INIT_WITH_MASK)

        mask2 = np.where((mask==1) + (mask==3),255,0).astype('uint8')
        output = cv.bitwise_and(img2,img2,mask=mask2)

cv.destroyAllWindows()