Image Segmentation Fusion Using General Ensemble Clustering Methods
نویسندگان
چکیده
A new framework for adapting common ensemble clustering 9 methods to solve the image segmentation combination problem is pre10 sented. The framework is applied to the parameter selection problem in 11 image segmentation and compared with supervised parameter learning. 12 We quantitatively evaluate 9 ensemble clustering methods requiring a 13 known number of clusters and 4 with adaptive estimation of the number 14 of clusters. Experimental results explore the capabilities of the proposed 15 framework. It is shown that the ensemble clustering approach yields re16 sults close to the supervised learning, but without any ground truth 17 information. 18
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