beedot
  • Member for 8 years, 2 months
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Comparison of Bilateral Filter and Anisotropic Diffusion
5 votes

Following the intuitive answer from @sansuiso, it's important to remember the parameters for the two methods and what kind of filtering they produce: BF: $\sigma_s$ (space), $\sigma_r$ (intensity ...

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Which sigma to use for edge detection
4 votes

The $\sigma$ decides the scale of objects being simplified. This is explained here: The size of the Gaussian filter: the smoothing filter used in the first stage directly affects the results of the ...

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Uneven background subtraction: Rolling ball vs Disk tophat
4 votes

I guess the basic question here becomes - what difference does non-flat structuring elements make w.r.t flat structuring elements ? From the definition of dilation one can see that the structuring ...

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Most common modern day Image Segmentation techniques
3 votes

I guess for a global overview of the state of the art algorithms for segmentation one needs to look for the latest surveys. A good global overview with challenges are presented in Szeliski's Book.

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Decomposition of **3D** structuring elements for morphological operations
Accepted answer
2 votes

I guess this depends on the digital distance transform that one is approximating on the 3d grid and there are various local connectivities possible. There is an implementation in ImageJ here. It ...

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what exactly does scale mean in scale-space theory?
1 votes

The basic idea in scale space is to parametrize the image value/function space with a single parameter so that one can localize or select interesting variations of the this parameter. The various ...

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detecting "deformed" lines
1 votes

The cross shape that i see in this example seems to remain more or less orthogonal. Maybe using a houghlines transformation with a piecewise flexibility might provide more true positives, but this ...

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Difference of Gaussians
1 votes

The difference of gaussian (DOG) is the convolution of input image by difference of two gaussians usually with different standard devitations($\sigma$). The basic idea behind this is to capture edges ...

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Noise removal in medical segmented image
1 votes

It seems from the initial area based filtering that results might not be satisfactory since it removes components which are linear but not so large in area. Looking at the structure of the foreground ...

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Shape of structuring elements for morphological gradients
1 votes

The asymmetric structuring elements produce a translation dilation on the original set or image. The size of the translation is determined by the offset in the center of the structuring element. For ...

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learnable segmentation or learnable edge detection
Accepted answer
0 votes

There is a benchmark code and test and learning dataset to perform image segmentation with ground truth dataset at Berkeley website and the code in the same place.

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How do I detect distinct objects when their edges touch each other?
0 votes

Contours are not necessarily open consider that you have used canny to detect them. The problems with Canny were already disccused here. The discussion on canny gives you the basic idea that there is ...

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what is continuous wavelet (cwt) ,wavelet packet (wpt) and stockwell (S-T) computational complexity?
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For a dsicretized signal with N samples. In terms of complexity for the DWT it is O(N) and for WPT its O(Nlog(N)) REFER. For each scale one calculates a convolution and not a single correlation value ...

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