Local Binary features with unit16 images vs unit8 images2019 Community Moderator ElectionIs there a problem of over fitting in my dataset?What is the procedure to create a bag of visual words model with SIFT?Inception/ResNet doing worse than SIFT in feature extractionData preprocessing: Should we normalise images pixel-wise?How to add non-image features along side images as the input of CNNsHow can I combine images for Matlab deep learning?Training a convolutional neural network for image denoising in Matlabconvert 16-Bit to 8-Bit imagesNeed help with confusing dataset formats for Images and annotationsLocal Binary Patterns features
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Local Binary features with unit16 images vs unit8 images
2019 Community Moderator ElectionIs there a problem of over fitting in my dataset?What is the procedure to create a bag of visual words model with SIFT?Inception/ResNet doing worse than SIFT in feature extractionData preprocessing: Should we normalise images pixel-wise?How to add non-image features along side images as the input of CNNsHow can I combine images for Matlab deep learning?Training a convolutional neural network for image denoising in Matlabconvert 16-Bit to 8-Bit imagesNeed help with confusing dataset formats for Images and annotationsLocal Binary Patterns features
$begingroup$
I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures
, which uses uniform LBP (59 features).
When I apply it on unit 16 image it gives the following:
However, with unit8 images it gives:
What could be the reason for this? Is it because the LBP uses a histogram that can be seen as 256-dimensional (0 - 255)? If so, how should I deal with unit16 images?
image-classification feature-extraction matlab lbp
$endgroup$
add a comment |
$begingroup$
I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures
, which uses uniform LBP (59 features).
When I apply it on unit 16 image it gives the following:
However, with unit8 images it gives:
What could be the reason for this? Is it because the LBP uses a histogram that can be seen as 256-dimensional (0 - 255)? If so, how should I deal with unit16 images?
image-classification feature-extraction matlab lbp
$endgroup$
add a comment |
$begingroup$
I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures
, which uses uniform LBP (59 features).
When I apply it on unit 16 image it gives the following:
However, with unit8 images it gives:
What could be the reason for this? Is it because the LBP uses a histogram that can be seen as 256-dimensional (0 - 255)? If so, how should I deal with unit16 images?
image-classification feature-extraction matlab lbp
$endgroup$
I have unit16 image dataset, and I would like to extract LBP features from it using the Matlab function extractLBPFeatures
, which uses uniform LBP (59 features).
When I apply it on unit 16 image it gives the following:
However, with unit8 images it gives:
What could be the reason for this? Is it because the LBP uses a histogram that can be seen as 256-dimensional (0 - 255)? If so, how should I deal with unit16 images?
image-classification feature-extraction matlab lbp
image-classification feature-extraction matlab lbp
edited Mar 27 at 1:44
Ethan
671425
671425
asked Mar 26 at 15:54
gingin
1667
1667
add a comment |
add a comment |
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