Sentence examples for candidate regions from inspiring English sources

We categorized candidate regions into those eight classes manually.

Principal component analysis was applied to these candidate regions.

Next, the candidate regions are classified as primary particles or agglomerates by a convolutional neural network trained on images of candidate regions and a manually obtained ground truth.

The candidate regions were first determined by clustering the brightest pixels in retinal images.

Moreover, 3D morphological characteristics and kinetic features are utilized to eliminate the spurious candidate regions.

Therefore, we should distinguish true shadow regions from these two candidate regions.

As the Bhattacharyya distance increases, the similarity becomes lower between two candidate regions.

Finally, the spurious candidate regions are removed by 3D morphological characteristics and kinetic features.

Candidate regions of scratch defects were selected by edge pair detection in [67].

This difference image highlights the facial landmarks and its higher peak locations correspond to candidate regions.

The foreground is further segmented to candidate regions by DBSCAN clustering algorithm [7].