hi all, the blog post is good! but its unclear how he is using pd.DataFrame() in step 10 - ggplot(pd.DataFrame(),aes(fill=True,alpha=0.5)) + \ geom_density(aes(x=gray_image.flatten()),color='green') + \ geom_density(aes(x=equalized_image.flatten()),color='orange') + \ ggtitle("Histogram Equalization Process\n(From Green to Orange)") + \ xlab("pixel intensity") + \ ylab("density") what should be contained in the dataframe is unclear to me? would appreciate your response, thank you! On Monday, February 3, 2014 at 9:19:26 AM UTC-6, Ankit Agrawal wrote:

Cool blog post!! +1 for inclusion of feature detection, extraction and matching example in future post.

Regards, Ankit Agrawal, Communication and Signal Processing, IIT Bombay.

On Mon, Feb 3, 2014 at 8:30 PM, Johannes Schönberger <js...@demuc.de <javascript:>> wrote:

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Really nice, the blog post should definitely get a follow up with the new feature detection, extraction and matching capabilities.

On Sun, Feb 2, 2014 at 1:41 PM, Stéfan van der Walt <ste...@sun.ac.za <javascript:>> wrote:

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Have a look at this great blog post:

http://blog.yhathq.com/posts/image-processing-with-scikit-image.html

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