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Fix missing detail in blob detection

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Tian Cheng (Riccardo) Xia
2024-03-29 10:11:29 +01:00
parent d9b2afb6e8
commit e52baa32f7
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src/image-processing-and-computer-vision/module1/sections/_local_features.tex
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@ -267,7 +267,7 @@ Scale-normalized LOG allows the detection of blobs (circles) in an image.
\begin{enumerate} \begin{enumerate}
\item Create a Gaussian scale-space by applying the scale-normalized Laplacian of Gaussian with different values of $\sigma$. \item Create a Gaussian scale-space by applying the scale-normalized Laplacian of Gaussian with different values of $\sigma$.
\item For each pixel, find the characteristic scale and its corresponding Laplacian response across the scale-space (automatic scale selection). \item For each pixel, find the characteristic scale and its corresponding Laplacian response across the scale-space (automatic scale selection).
\item Filter out the pixels whose response is lower than a threshold. \item Filter out the pixels whose response is lower than a threshold and apply NMS.
\item The remaining pixels are the centers of the blobs. \item The remaining pixels are the centers of the blobs.
It can be shown that the radius is given by $r = \sigma\sqrt{2}$. It can be shown that the radius is given by $r = \sigma\sqrt{2}$.
\end{enumerate} \end{enumerate}