Fuzzy operators for quality evaluation in images edge detection
Felicitas Perez-Ornelas, Olivia D. Mendoza, Patricia Melín, Juan R. Castro · 2013
Edge detection in an image is one of the most important tasks when working with image recognition, object identification, feature extraction, among others. There are different metrics to evaluate edges, such as Pratt, Jaccard, Dice but all these metrics binarize the image, and by performing this action information is lost from the image. This paper presents a new method that will allow the evaluation of the quality of the image of detected edges, using all the information of the image without binarization. This will be used for fuzzy sets as well as different operations with sets.