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ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES

Abstract: 

In this work we analyze the impact of denoising, contrast and edge enhancement using the Deceived Non Local Means (DNLM) filter in a Convolutional Neural Network (CNN) based approach for age estimation using digital X-ray images from hands. The DNLM filter contains two parameters which control edge enhancement and denoising. Increasing levels were tested to assess the impact of both contrast enhancement and denoising in the CNN based model regression accuracy. Results obtained showed that contrast enhancement was important for preprocessing in a CNN based approach, given a statistically significant 42% lower root mean squared error, with comparable to previous state of the art results, using larger publicly available dataset. The obtained results suggest that both image enhancement and denoising can significantly improve results in a CNN based model.

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Paper Details

Authors:
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+
Submitted On:
6 October 2018 - 8:15am
Short Link:
Type:
Poster
Event:
Paper Code:
2714
Document Year:
2018
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Document Files

POSTER2_ICIP2018.pdf

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[1] S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+, "ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3573. Accessed: Oct. 18, 2019.
@article{3573-18,
url = {http://sigport.org/3573},
author = {S. Calderon?; F. Fallas†; M. Zumbado‡; P. N. Tyrrell±; H. Stark; Z. Emersic§; B. Medeno; M. Solis+ },
publisher = {IEEE SigPort},
title = {ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES},
year = {2018} }
TY - EJOUR
T1 - ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES
AU - S. Calderon?; F. Fallas†; M. Zumbado‡; P. N. Tyrrell±; H. Stark; Z. Emersic§; B. Medeno; M. Solis+
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3573
ER -
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. (2018). ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES. IEEE SigPort. http://sigport.org/3573
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+, 2018. ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES. Available at: http://sigport.org/3573.
S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. (2018). "ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES." Web.
1. S. Calderon?, F. Fallas†, M. Zumbado‡, P. N. Tyrrell±, H. Stark, Z. Emersic§, B. Medeno, M. Solis+. ASSESSINGTHEIMPACTOFTHEDECEIVEDNONLOCALMEANSFILTERASA PREPROCESSINGSTAGEINACONVOLUTIONALNEURALNETWORKBASED APPROACHFORAGEESTIMATIONUSINGDIGITALHANDX-RAYIMAGES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3573