The parametric boundary of an object can be extract in Matlab by using the bwtraceboundary function. It returns a Q-by-2 matrix B, where Q is the number of boundary pixels for the object and the first
I am just bein开发者_开发技巧g adventurous and taking my first baby step toward computer vision. I tried to implement the Hough Transformation on my own but I just don\'t get the whole picture. I read
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heya! i recently came across this statement larger sobel operators are more stable 开发者_运维技巧in noise. which got me thinking- why?
so i came across this question which says: You need to identify a moving (red) cricket ball against a green (grass) background. Assuming that both a colour image and an optic flow field are available
i am working on a simple playing card detecting programme. For now i have a working Sift Algorithmus from here.
My lecture notes on computer vision mention that the performance of the k-means clustering algorithm can be improved if we know the standard deviation of the clusters. How so?
I\'ve got background subtraction to work quite well. But the problem is, it marks shadows as foreground as well.
I\'ve read across several Image Processing books and websites, but I\'m still not sure the true definition of the term \"energy\" in Image Processing. I\'ve found several definition, but sometimes the
I am using open cv 1.0. In opencv 1.o there is not cvSolvePoly function. What can开发者_如何学Python i use for this in opencv 1.0?
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