Questions tagged [segmentation]

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Perceptually Corresponding Error Map

Is there any better measurement of error between two images than just taking pixel value differences? The problem I am tackling is stitching images containing "sensitive" objects, such as moving ...
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28 views

For extracting the characteristics of the signal what minimum duration should be considered?

Being non signal processing student I have a limited understanding of concepts. I have a continuous periodic bearing faulty signal of 10 seconds duration sampled at 12 kHz. So I have 120,000 ...
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72 views

Help Understanding Radial Gaussian Filter

I am currently reading through Mueller's "Fundamentals of Music Processing" and I am trying to understand audio segmentation through the use of self-similarity matrices. Currently, my matrix looks ...
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how to get segmented OPTIC DISC from retinal image?

i have been segmented some image of retina. but the result is not good as i hope. for one image i can get good segmentation, like this image my code is from some reference in internet, in below i ...
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442 views

Segmentation based on peak values

I have a 2D array/matrix (something like an image, but it's not an actual image) with values from 0 to X (in this case 180). and I have a 1D array/Vector that has the occurrence frequency of these ...
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What does $I_{seg}$ in 3GPP TS 38.212 version 15.2.0 Release 15 represents?

I'm working on 5G NR, whereby on reading Code block segmentation and code block CRC attachment given in Subclause 5.2.1 of 3GPP TS 38.212 version 15.2.0 Release 15. What does $I_{seg}$ represent?
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87 views

How to use a context window to segment a whole log Mel-spectrogram (ensuring the same number of segments for all the audios)?

I have several audios with different duration. So I don't know how to ensure the same number N of segments of the audio. I'm trying to implement an existing paper, so it's said that first a Log Mel-...
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165 views

Machine learning to find an optimal set of parameters for a segmentation algorithm

Using machine learning to find an optimal set of parameters for a given segmentation algorithm. In the "classical" case of machine learning, in the training phase, the data set is constant and the ...
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2answers
792 views

segmenting an EEG data

I have an EEG labeled data, which is the data that used for training, And I want to segment those data based on the time of EEG signal (Time-based Epoching) as a preprocessing step, based on the ...