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- W4367276837 abstract "With the development of image processing technology, more and more applications need to identify the color information in the image. For example, in autonomous driving technology, it is necessary to distinguish the color of traffic lights, and in agricultural planting technology, it is necessary to classify the color of crops, etc., so the color feature recognition of images is of great significance, and this technology will be applicable to various scenarios. This paper mainly identifies the color features of plant images. We obtain the standard color comparison card sample set and divide the standard color comparison card sample set into a training set and a test set. A sample set of standard color charts contains (1) the RGB value of the color number and (2) CIE L*a*b* value of color number. Then, the recognition accuracy test is carried out by using the recognition model of the test set, and based on the result of the recognition accuracy test, a target plant color recognition database is established. We obtain the CIE L*a*b* value of the target image, correspond to the database, and get the corresponding color result. The recognition accuracy is 97%." @default.
- W4367276837 created "2023-04-29" @default.
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- W4367276837 date "2023-01-01" @default.
- W4367276837 modified "2023-10-16" @default.
- W4367276837 title "An Application for Color Feature Recognition from Plant Images" @default.
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- W4367276837 doi "https://doi.org/10.1007/978-981-99-1145-5_22" @default.
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