chengweige's profile - activity

Hi all, i want to apply edge detection with a binary mask, i used the function copyTo() by a mask to set the unwanted region pixels to zero, then i invoked the edge detector(like canny), but in this way, the border of the binary mask is also detected as the edge, so what is the correct way to extract the true edge with a binary mask?

here is a method i found usful (http://www.codeproject.com/Articles/1...)

Hi, i have a digital recognition problem, the image is like

at the first step, i need to segment each digital, the subimage must only have one digital. I have used the image projection method, the results show as follows

I think it is very hard to segment each digital due to the strip on the top-right of the image, so is there any good idea for this digital segment?

No, that is not possible. Is there any good feature(scale, rotation invariable) for these patterns?

As a matter of fact, i had binarize the image, but it could not always seperate the blobs(for blurring reason), so i think there is no need to extract each dot blob precisely, i just need to recognize the image which pattern it belongs to. Then i used the feature-classifer pattern recognition method, but the result is not very good for simpleblob detector and SIFT descriptor.

Hi, i want to recognize the dot number of the image, just like

the image may be scaled, rotated, but the dot number is unaltered.

I have used the simpleblob detector to extract the small circular blob, showing

as you can see, for some image, the circular blob may be extracted perfectly, while badly for others.

For dot number recognition, i used bag of words object category framework, 'SimpleBlob' detector, 'SIFT' descriptor and SVM classifier are used, but the result is not very good.

So is there any other method suitable for my problem?