Article ID Journal Published Year Pages File Type
6540318 Computers and Electronics in Agriculture 2016 11 Pages PDF
Abstract
Our method is compared with the well-known automatic thresholding methods, such as the mean value and Otsu's. The method proposed provides good results for all the different conditions analyzed, including burned and saturated images.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
Preview
An instance-based learning approach for thresholding in crop images under different outdoor conditions
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