Earth and Planetary Sciences
8 years ago

New plant-color image segmentation algorithm separates objects with precision.

Journal of Chongqing Technology and Business University
Study of K-means-based classification of plant-color image segmentation
Lin Da-hui

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The study used a K-means algorithm to separate plant objects from the background in images. This helped to classify pixels into different groups based on the objects they belong to. The results showed that the algorithm successfully separated the plant from the background, leading to good outcomes. This approach expanded the use of clustering algorithms in image segmentation to a new area.