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# Tag Info

### In opecv function Hough circles how does parameter 1 and 2 affect circle detection and how can I adjust them to increase accuracy?

Intuition for parameters of HoughCircles: image: 8-bit, single channel image. If working with a color image, convert to grayscale first. method: Defines the method to detect circles in images. ...
Accepted

• 29.7k

### Difference of Gaussian filter but using Gaussian CDFs not PDFs

You need to ask yourself why do we use the difference of Gaussians from the first place? The reason is because the difference will give us a measurement for the change in value around the point we ...

### Why edge sharpening produces high frequency?

Edges are not the best defined features in images. However, they can be associated, locally, at a certain scale, with relative variations in intensity along a first direction, combined with a ...
• 29.7k
Accepted

### Designing an efficient curve-matching algorithm

The two most obvious things you can try are: Fitting a Gaussian to your data and then clustering their parameters Estimate the similarity of waveforms directly and then try to cluster that Since you ...
• 10k