Questions tagged [feature-detection]
The feature-detection tag has no usage guidance.
8
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15 views
Finding the differences(using features, not subtraction) in order to find differences in signals
I have a question. Let’s say I have two signals (discretely represented as arrays), $S_1$ and $S_2$ as shown below. $S_1$ has a similar form to $S_2$. If the signals are subtracted, $S_2-S_1$, they ...
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0answers
16 views
KLT tracker, reject tracked occluded points
I want to use KLT tracker for a visual odometry application. Thus, I only want to track object features. Currently I'm using OpenCV's implementation ...
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1answer
21 views
What are the ranges of values for each audio feature/descriptor?
I need to normalize some audio feature measurements I've done with the software Wolfram Mathematica.
Coming from a non signal processing background, I have some difficulties understanding what ...
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0answers
19 views
Is there any way to do 3D (Voxel Data) feature detection?
In the 2D image processing, there are ways to find and match features of the image (like corner of the edges). However, I could not find the equivalent of that in the 3D-voxel data (Here voxel means a ...
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2answers
114 views
Scratch Detection On Noisy Textured Surface
I wish to extract long thin scratches from the noisy background image.I have tried several ways such as stacking smoothed image with input image to remove some of the noisy background patch before ...
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1answer
59 views
How to make series circle shift invariant
I have a series of numbers. They may be integer, floating, or ...
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2answers
390 views
How to extract features of individual spikes in non-negative signal?
I have data of non-negative (in the sense there's no signal below baseline) spiking waveforms, which are in the form of a 1D array of numbers:
Spikes that cross some threshold are considered real ...
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0answers
39 views
Texture detection
I am looking for good methods, preferably parameterless, to detect textured areas in an image. I mean random textures, not regular patterns. The final goal is to discriminate between significant edges ...
