"region classification" is correct and usable in written English.
You could use it, for example, to describe the way a particular area is divided for analysis or for government purposes. For example, "The region classification divided the state into six distinct regions."
To study regional differences in England we used the government office region classification, based on the borders defined by the Office for National Statistics.
We add a normalization step to rectify perspective distortion before candidate text region classification which improves the accuracy and robustness of the final output result.
We also designed an adaptive region growing with automatic region seed detection and a model-based region classification, both dedicated to laparoscopy.
A sequence of carefully designed image processing operations consisting of image binarization, connected-component labeling, region classification, adaptive template matching, and shape analysis, are developed for an accurate and robust localization of fiducial projections.
c The result of region classification.
Figure 2 Result of binarization and region classification.
With 10 climatic regions, 14 soil regions and 11 distinct ecological regions, regional classification becomes problematic with differences in soils, topography, geology, rainfall, and plant and animal communities.
Reads aligning to intronic or overlapping multiple region classifications are not unexpected due to partially processed RNAs in the transcriptome library and the possibility of alternative splicing events [ 36].
Figure 3 Four-way partition of Turkey based on TurkStat's 12-region classification.
(3) We present results on a man-made versus natural image regions classification task, and show that the contextual information learned from co-occurrence improves the performance compared to a non-contextual approach.
We present results on a man-made versus natural image regions classification task, and show that the contextual information learned from co-occurrence improves the performance compared to a non-contextual approach.
