OpenCV blob detection not discriminating between well defined blobs - python-2.7

Question

I am trying to detect well-defined blobs in some images, I can easily threshold the image to have just the white spots I want to detect but the blob detector seems to group some of them together or miss others. Is there a better way to do this? Is there some way to find every island of connected white pixels that is not super slow?
Thresholded image:
Detected Blobs:
The code used to process the Threshold into blobs:
import numpy as np
import cv2
params = cv2.SimpleBlobDetector_Params()
# we are looking for white blobs in a mask
params.blobColor = 255
params.filterByColor = True
params.filterByArea = True
params.minArea = 0
# Blobs larger than 50 pixels are noise
params.maxArea = 50
# enabling these can cause us to miss points
params.filterByCircularity = False
params.filterByConvexity = False
params.filterByInertia = False
detector = cv2.SimpleBlobDetector_create(params)
img = cv2.imread('Threshold Out.png', flags=cv2.IMREAD_GRAYSCALE)
keypoints = detector.detect(img)
img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
img = cv2.drawKeypoints(img, keypoints, np.array([]), (0, 0, 255),
cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
while True:
cv2.imshow('out', img)
key = cv2.waitKey(0)
if key == 27:
break

Answer 1

After reading through the C docs for the blob detector params there is a parameter called minDistBetweenBlobs and setting this to 1 solved my issue.
Detected Blobs:
Updated code:
import numpy as np
import cv2
params = cv2.SimpleBlobDetector_Params()
# we are looking for white blobs in a mask
params.blobColor = 255
params.filterByColor = True
params.filterByArea = True
params.minDistBetweenBlobs = 1
params.minArea = 0
# Blobs larger than 50 pixels are noise
params.maxArea = 50
# enabling these can cause us to miss points
params.filterByCircularity = False
params.filterByConvexity = False
params.filterByInertia = False
detector = cv2.SimpleBlobDetector_create(params)
img = cv2.imread('Threshold Out.png', flags=cv2.IMREAD_GRAYSCALE)
keypoints = detector.detect(img)
img = cv2.cvtColor(img, cv2.COLOR_GRAY2RGB)
img = cv2.drawKeypoints(img, keypoints, np.array([]), (0, 0, 255),
cv2.DRAW_MATCHES_FLAGS_DRAW_RICH_KEYPOINTS)
while True:
cv2.imshow('out', img)
key = cv2.waitKey(0)
if key == 27:
break