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.... 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!
