hi folks, 

  Got a problem removing dust and identifying blobs/crytals. Kindly see my code below

from __future__ import division, print_function
import matplotlib.pyplot as plt
import numpy as np
from skimage import io, feature, color, measure, draw, img_as_float, exposure
from skimage.filters.rank import median
from skimage.feature import blob_dog, blob_log, blob_doh
from skimage.morphology import disk

#raw image
image_raw = img_as_float((io.imread('/home/raphael/Documents/ScikitImage/Run 4-2_00061cropped.tif'))) (RawImage.tif attached)
plt.imshow(image_raw)

#converted to grayscale

img_gray = color.rgb2gray(io.imread('/home/raphael/Documents/ScikitImage/Run 4-2_00061cropped.tif'))
plt.imshow(image_gray)


#applied median filter to take out small dust particles. But the big dust particle on the top right corner still persists (see median1.png attached)
img_filtered=median(img_gray,disk(10))
plt.imshow(img_filtered)


#applied  adapthist to make image more clearer (see adaptive.png)

img_equalized=exposure.equalize_adapthist(img_filtered)
plt.imshow(img_equalized)

#trying to detect the crystals/blobs. I followed the example here http://scikit-image.org/docs/dev/auto_examples/features_detection/plot_blob.html But this gave an error. matplotlib was not happy with the data type
blobs_doh = blob_doh(img_equalized,  max_sigma=30, threshold=.1)
plt.imshow(blobs_doh)

My problems are:

1. I could not get the dust particle out especially the really big one on the top right. How can I get it out?

2. I could not detect the crystals/blobs in the image using blob_doh

Any ideas/suggestions is highly appreciated.  Thank you!