Color-complexity enabled exhaustive color-dots identification and spatial patterns testing in images.

ABSTRACT: Our computational developments and analyses on experimental images are designed to evaluate the effectiveness of chemical spraying via unmanned aerial vehicle (UAV). Our evaluations are in accord with the two perspectives of color-complexity: color variety within a color system and color distributional geometry on an image. First, by working within RGB and HSV color systems, we develop a new color-identification algorithm relying on highly associative relations among three color-coordinates to lead us to exhaustively identify all targeted color-pixels. A color-dot is then identified as one isolated network of connected color-pixel. All identified color-dots vary in shapes and sizes within each image. Such a pixel-based computing algorithm is shown robustly and efficiently accommodating het

SUBMITTER: Liao S 

PROVIDER: S-EPMC8112684 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature