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Questions tagged [threshold]
715 questions
2
votes
1 answer
Remove Background from Image - Python
I am trying to remove the black background from an image using OpenCV, but I am unable to remove the pixels to capture just the main imagery without the black background. Here is the code I am using, along with the original input image.
import…

mdl518
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2
votes
2 answers
Add Constraints in a Conditional Query/Operation in Mathematica
I use the following function to perform a conditional operation on a List:
consider[data_, conditionCOL_, conditionVAL_, listOfCol_] :=
Select[data, (#[[conditionCOL]] == conditionVAL) &][[All, listOfCol]]
Considering the following example…

500
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2
votes
2 answers
Determine the best classification threshold value for deep learning model
How to Determine the best threshold value for deep learning model. I am working on predicting seizure epilepsy using CNN. I want to determine the best threshold for my deep learning model in order to get best results.
I am trying for more than 2…

Eda
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2
votes
1 answer
Why is adaptive threshold image smaller than the original?
I am trying to use adapativeThreshold on a live stream that will eventually be used for shape detection. Regular threshold does not show enough of what I want to see. When I use the code below, the regular threshold comes out as expected, but the…

Samantha Garcia
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2
votes
4 answers
How to subset data based on two conditions
Supopose I have a dataframe df
> df
ID Year Weight
1 Brown 1960 5.0
2 Green 1990 3.0
3 Yellow 1961 4.8
4 Green 1994 7.0
5 Green 1993 6.0
6 Brown 1964 8.0
7 Yellow 1960 4.6
If I want to subset all IDs with a weight…

JoeN
- 57
- 6
2
votes
2 answers
split a dataframe
print (df)
A B
0 10
1 30
2 50
3 20
4 10
5 30
A B
0 10
1 30
A B
2 50
A B
3 20
4 10
5 30

maher
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2
votes
2 answers
create multi-colored thresholded image from grayscale heatmap in python
I have a gray-scale images and want to threshold them in 4 range of values (0.035, 0.7, 0.75), displayed by 4 different colors. I need the result saved as images in UINT8 format. The gray-scale image information is as…

dieKoderin
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2
votes
1 answer
Incorrect thresholding before string recognition
I'm trying to recognize some text with pytesseract, but before that I have to turn the picture I have into a binary one.
Note that I first resize the picture to make it easier to read for pytesseract.
See below the original picture, the resized one,…

PatrickDelaigle
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2
votes
1 answer
How do I proceed to retain just the veins as black using MATLAB?
I have this Ir image that has captured the veins under the skin. I want to process this image so as to retain just the veins as black colour and get everything else as white. Then I want to generate the coordinate pixels as these black pixels which…

khadeejah
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2
votes
2 answers
Matlab:How to eleiminate the black background and retain the region of interest in my image?
I have the following IR (infrared) image of a human fist captured with a webcamera converted to work in IR. The picture has captured the veins under the skin. What i want to do is just retain the fist and get rid of the surrounding black area. How…

khadeejah
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2
votes
1 answer
pROC package with pre-specified cutoff values with two decimals
In the roc function of pROC package I would like to print my specific cutoff values (print.thres parameter) with two decimal digits, because one cutoff is 0.05 and in the plot appears as 0.0 Any suggestion?

user2310909
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2
votes
0 answers
thresholding in first and second order derivative edge detection
I'm having some conceptual confusion with regards to first and second order derivative edge detection methods. When you run a first or second derivative order filter, you get a greyscale output with gradient magnitude and rate of change of the…

speedydumbarton
- 21
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2
votes
1 answer
Calculation of the maximum duration over threshold in R (timeseries)
I have a xts-timeseries temperature data in 5 min resolution.
head(dataset)
Time Temp
2016-04-26 10:00:00 6.877
2016-04-26 10:05:00 6.877
2016-04-26 10:10:00 6.978
2016-04-26 10:15:00 6.978
2016-04-26 10:20:00 6.978
I want to…

tobias_p
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2
votes
0 answers
How to reconstruct the signal by applying thresholding on wavelet coefficients?
I want to reconstruct a 1D audio signal by thresholding the wavelet coefficients. First of all, I read the audio signal and normalised it. After that I added white Gaussian noise. Subsequently I calculated the maximum volume level for…

Ahmad Taquee
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2
votes
2 answers
Look up and extract values exceeding a threshold in r
I have two data frames:
#df1
df1 = data.frame(id = c("A","B","C","D","E"),
dev = c(213.5, 225.1, 198.9, 201.0, 266.8))
df1
id dev
1 A 213.5
2 B 225.1
3 C 198.9
4 D 201.0
5 E 266.8
#df2
df2 = data.frame(DateTime =…

Monte
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