提取关键点坐标并使用cv :: line绘制线

Question

我发现How to get pixel coordinates from Feature Matching in OpenCV Python可以提取匹配的特征坐标，而How to draw a line on an image in OpenCV?可以画出两个点的黑白线，如附图所示。我没有在我的情况下使用此方法。

    from skimage.segmentation import slic
    from skimage.segmentation import mark_boundaries
    from skimage.util import img_as_float
    from skimage import io
    import matplotlib.pyplot as plt
    import cv2
    import numpy as np
    image=cv2.imread('C:\\Users\\pragyan.prakash\\001_F.png')
    segments = slic(img_as_float(image), n_segments = 100, sigma = 5)
    fig = plt.figure("Superpixels")
    ax = fig.add_subplot(1, 1, 1)
    ax.imshow(mark_boundaries(img_as_float(cv2.cvtColor(image, 
    cv2.COLOR_BGR2RGB)), segments))
    plt.axis("off")
    plt.show()
    feature=[]
    # loop over the unique segment values
    for (i, segVal) in enumerate(np.unique(segments)):
    # construct a mask for the segment
        mask = np.zeros(image.shape[:2], dtype = "uint8")
        mask[segments == segVal] = 255
        img=cv2.bitwise_and(image, image, mask = mask)
        feature.append(cv2.cvtColor(img, cv2.COLOR_BGR2GRAY))
        cv2.waitKey(0)
    orb = cv2.ORB_create()
    key=[];desc=[];sel= [];
    for i in feature:
        kp,des=orb.detectAndCompute(i,None)
        if des is not None: 
            key.append(kp)
            desc.append(des)
            sel.append(i)
    # create BFMatcher object
    bf = cv2.BFMatcher(cv2.NORM_HAMMING, crossCheck=True)
    match=[];pairs = [];
    for i in range(len(desc)):
        for j in range(len(desc)):
            #print (i,j)
            if i!=j:
                match.append(bf.match(desc[i],desc[j]))
                pairs.append((i,j))
    sorted_match=[]
    for i in match:
        sorted_match.append(sorted(i,key=lambda x:x.distance))

enter image description here