Combining max pooling-laplacian theory and k-means clustering for novel camouflage pattern design

HIGHLIGHTS

• who: Dehui Zhao from the Shaanxi Normal University, China have published the research work: Combining Max pooling-Laplacian theory and k-means clustering for novel camouflage pattern design, in the Journal: (JOURNAL)
• what: The authors propose a new artifactual image design method for the problem that the k-means clustering algorithm is inaccurate in processing the iterative results of big data images and leads to the poor artifactual effect of the generated images. In this paper, the camouflage effect was tested under two different weather conditions, sunny and cloudy, and the results are shown in . . .
  

   

  

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