Color dynamic change regulation of Begonia flower period based on Matlab image recognitio
[Objective]To investigate the patterns of color dynamics during the flowering period of various ornamental crabapple species,and to implement the application of image recognition technology in monitoring these dynamic changes in plant colors.[Method]In this study,70 ornamental crabapple species were taken as the research objects.Based on Matlab image recognition technology,the flowering areas in unmanned aerial vehicle(UAV)images were identified and segmented,and HSL color parameter values were extracted.By calculating and analyzing these color parameters,the dynamic patterns of crabapple flower colors were revealed.[Result]1)Matlab effectively recognizes and segments the flowering areas with a recognition rate of 91.6%.There were differences in recognition rates among different flower colors,with recognition rates of 95.0%,92.3%,and 85.9%for white,pink,and red series,respectively.The main reason for the difference in color recognition rates was the varying contrast between different color series and the background.2)Based on the color parameters extracted from UAV images during the full blooming stage,the Begonia varieties were classified into three major color series:white(with H values ranging from 200° to 250°),pink(with H values ranging from 300° to 330°),and red(with H values ranging from 330° to 360°).3)During the flowering process,the color parameter changes of Begonia varieties in the three color series showed both similar and different trends.The similar trend was that the hue(H)and lightness(L)of the Begonia varieties in the three color series tended to spread out from being concentrated,while saturation(S)decreases and lightness(L)increases.The different trend was that the decreasing rhythm of saturation(S)varies significantly among the three color series:the white series varieties showed a rapid decrease from initial flowering stage to full blooming stage,with no significant change from full blooming stage to ending flowering stage;the pink series varieties showed a uniform decreasing trend throughout the flowering stage;and the red series varieties decreased slowly from initial flowering stage to full blooming stage but accelerate from full blooming stage to ending flowering stage,although the overall decrease was less than that of the pink series varieties.[Conclusion]The Matlab image recognition technology can conveniently and efficiently analyze the color dynamics of multiple crabapple varieties,enabling dynamic monitoring of flower colors.
Matlab image recognitionUAV imagesHSL color spacecolor dynamics
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