Abstract | ||
---|---|---|
Evaluation measures for images segmentation are suggested. The methods compare the results of automatic segmentation with ground truth. The presented methods for assessing the similarity of the segments are based on three different approaches: the number of pixels in common, the similarity of the contours, and the location of centroids. The fuzzy approach consists of considering the significance o... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TFUZZ.2017.2752130 | IEEE Transactions on Fuzzy Systems |
Keywords | Field | DocType |
Image segmentation,Fuzzy set theory,Image edge detection,Indexes,Fuzzy logic,Image color analysis,Measurement | Pattern recognition,Segmentation,Fuzzy logic,Precision and recall,Image segmentation,Fuzzy set,Ground truth,Artificial intelligence,Pixel,Centroid,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
26 | 4 | 1063-6706 |
Citations | PageRank | References |
0 | 0.34 | 23 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bartosz Ziólko | 1 | 46 | 15.76 |
David Emms | 2 | 100 | 9.58 |
Mariusz Ziólko | 3 | 16 | 4.96 |