How to Find Connected Components in dataset?

I want to find Connected Components in all dataset " Brain MRI Images Dataset" so when I apply cv2.CoconnectedComponentsWithStats() method to get blobs in images it converts all dataset to only black images and doesn’t work
Note: When I apply connected components on a single image it works but in many images doesn’t work

i = 0
for image in path:
    input_image = np.array(Image.open(image))
    resized = cv2.resize(input_image,(512,512))
    if(len(resized.shape) > 2):
        
        # Convert From RGB to GRAYScale
        gray_image = cv2.cvtColor(resized, cv2.COLOR_RGB2GRAY)

        # Thresholding 
        T, threshold_image = cv2.threshold(gray_image,160,255,cv2.THRESH_BINARY)

        # opening
        kernel = np.ones((7,7), 'uint8')
        open_img=cv2.morphologyEx(th2,cv2.MORPH_OPEN,kernel)
        
        # Closing
        close_img=cv2.morphologyEx(open_img,cv2.MORPH_CLOSE,kernel)
        
        # Blobs
        num_labels, labels_im, stats, centroids = cv2.connectedComponentsWithStats(threshold_image , connectivity = 4)

       # Save Result 
       cv2.imwrite('C:/Users/moham/Desktop/Medical Image Processing Project/Result/0'+ 
       str(i)+'.png',labeled_img)
       i = i + 1