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- W3000049095 abstract "Currently, there are technologies such as Unmanned Aerial Vehicles (UAV) that allow more efficient field work in geology. With the capture of aerial photographs and their processing with algorithms based in Structure from Motion (SfM), it is possible to obtain a position XYZ with their RGB color. The resulting outputs, whether images or point clouds, can be used to recognize patterns of geological layer in stratified walls from color. This semi-automatic segmentation allows to identify subtle changes between lithologies through the transformation of RGB to other color spaces such as CIELab. The review was done around the issues of color segmentation identified through a search level scheme. These were color information, type of spatial data, segmentation methods and color spaces." @default.
- W3000049095 created "2020-01-23" @default.
- W3000049095 creator A5079351235 @default.
- W3000049095 date "2019-11-04" @default.
- W3000049095 modified "2023-09-23" @default.
- W3000049095 title "A review on the color segmentation with emphasis on the point clouds" @default.
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- W3000049095 doi "https://doi.org/10.29007/sthw" @default.
- W3000049095 hasPublicationYear "2019" @default.
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