Sentence examples similar to art segmentation from inspiring English sources

Experimental results indicate that the PPC algorithm shows a significant improvement in computational speed when compared with the state-of-the-art segmentation algorithms while maintaining a high accuracy in segmenting noisy range images.

The Criminisi et al.'s algorithm is one of the state-of-the-art segmentation methods.

We quantified the accuracy of the proposed algorithm with respect to the state-of-the-art segmentation algorithms.

Currently, manually creating reference truths is the state-of-the-art segmentation evaluation and development strategy for the medical image processing and analysis field.

Experiments demonstrate that both algorithms are capable to achieve superior or comparable performance over the compared state-of-the-art segmentation methods in all tested datasets.

Compared with six improved FCM algorithms and two state-of-the-art segmentation algorithms (spectral clustering and normalized cuts), the proposed algorithm obtains the best performance in terms of region uniformity and boundary localization.

We propose an algorithm for retinal segmentation that uses a pair of state-of-the-art segmentation tools.

Circular Binary Segmentation (CBS) has been described as a state-of-the-art segmentation algorithm [ 36, 37]; it identifies change points using maximal t-statistics and assesses segment significance with permutations.

We also compare the proposed model with several other state-of-the-art segmentation models through simulation benchmarking, which shows that our efficient implementation achieves comparable or better sensitivity and specificity in genomic segmentation.

The proposed model has been compared with several other state-of-the-art segmentation models through simulation benchmarking, which shows that our efficient implementation achieves comparable or better sensitivity and specificity in genomic segmentation.

The proposed model has been compared with several other state-of-the-art segmentation methods; our implementation is efficient and achieves comparable or better sensitivity and specificity in genomic segmentation.