Noise reduction to enhance classification of images using textural information

Abstract

A method is presented to classify the percent intramuscular fat (%IMF) for beef cattle using ultrasound imaging. As the images captured tend to include a significant amount of noise a noise reduction algorithmwas used. The effectiveness of using filtered images to calculate texture measures for the classification and prediction of the %IMF is compared to the effectiveness of using unfiltered images.