技術標籤：影象處理opencv計算機視覺深度學習cv影象識別

def addimage(img1, img2):
    # 將灰度圖轉換為彩圖  底用藍色，頂用紅色
    image1 = np.zeros((128, 128, 3))
    image1[:, :, 2] = img1
    img1 = image1  # 綠色的fixed影象
    cv2.imshow("img1", img1)
    cv2.waitKey()

    image2 = np.zeros((128, 128, 3))
    image2[:, :, 1] =
 
 img2
    img2 = image2  # 紅色的moving影象
    cv2.imshow("img2", img2)
    cv2.waitKey()

    # 移動和扭曲
    overlap = cv2.addWeighted(img1, 1, img2, 1, 0)
    cv2.imshow("overlap", overlap)
    cv2.waitKey()
    cv2.imwrite('E:/Recursive/output4/overlap0.png', overlap)
if __name__ == "__main__"
 
:

    img1 = cv2.imread('E:/Recursive/output4/seg_fixed.png', 0)
    img2 = cv2.imread('E:/Recursive/output4/seg_moving.png', 0) #8位深度，1通道 BGR
    addimage(img1, img2)