Sentence examples for segmentation operation from inspiring English sources
The method is capable of solving unable exactly contoured lesion objects problem in MRI image by adding the color-based segmentation operation.
The 3-D visualization upon each execution of the segmentation operation was achieved in the order of 2 s with a 700 MHz CPU.
Fig. 4 Result of the segmentation operation with HU, contiguity, and bounding box restrictions.
A segmentation operation can only yield one of the following four possible results: one type I error, one type II error, one type I error plus one type II error (two errors; e.g., 好东/西 hǎo dōng/ xī 'good-east/west' (NorSEnoerroror no error.
A subject divides the phrase/sentence S into n (n ∈ N +) segments by n segmentation operations (not n − 1; the subject left the remaining segment at the tail as one word; it means the subject had "confirmed" that this is a segmentation operation too).
If S is segmented by m (m ∈ N +) subjects, and the ith (1 ≤ i ≤ m) subject's type I error count, type II error count, and segmentation operation count are ( {e}_{i^{prime }},{e}_{i^{{primeprime} }},{n}_i ) respectively, then the collective form of MSER is: MSER=frac{sum limits_{i=1}^mleft({e}_{i^{prime }}+{e}_{i^{{primeprime} }}right)}{sum limits_{i=1}^m{n}_i}.
Here, we introduce a specialized and convenient sequence of segmentation operations for making such models that greatly improves their reliability and spatial resolution as compared to current approaches, providing a basis for making accurate measurements.
The software was coded in Matlab for segmentation, morphological operation and color quantification of the samples.
In the case of "N/A" values the onboard device memory sometimes became a bottleneck, which resulted in frequent caching operations that seriously slowed down the segmentation performance.
Although such a switching solution is theoretically possible, it involves a lot of additional memory operations, which have a negative influence on the speed of the segmentation procedure.
24 Identification of the algal community from images consists of various steps namely preprocessing, segmentation, morphological operations, feature extraction, classification, and identification.
