A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Region Growing and Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Determination of meat quality by texture analysis
Pattern Recognition Letters
Geometric partial differential equations and image analysis
Geometric partial differential equations and image analysis
Computer Vision
A Classified and Comparative Study of Edge Detection Algorithms
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Camera models and machine perception
Camera models and machine perception
Constrained region-growing and edge enhancement towards automated semantic video object segmentation
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Fast communication: Analysis and improvement of SUSAN algorithm
Signal Processing
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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.