Article ID Journal Published Year Pages File Type
530868 Pattern Recognition 2011 12 Pages PDF
Abstract

Intramuscular fat is an important quality criterion, notably juiciness, in meat grading. But traditional visual inspectors are time consuming and destructive. However, edge detection techniques characterize meat surface in consistence, rapid, and non-destructive approach. In this paper, novel edge detection method applied on intramuscular fat is presented based on the energy and skewness as two smoothed versions of the image. Parametric analyses were investigated and the method was tested on several images, producing minimum improvements of 6.451%, 1.667% and 7.826% in signal to noise ratio, mean square error and edges localization, respectively, in comparison to Roberts, Prewitt, Sobel, and Canny detectors.

► A novel edge detection method applied on intramuscular fat is presented.► The method is based on energy and skewness as two smoothed versions of the image.► The method produces competitive results with respect to common edge detectors.

Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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