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Since ancient times, it has been essential to adopting camouflage on thebattlefield, whether it is in the forefront, in-depth or the rear. Thetraditional evaluation method is made up of people opinion. By watching targetor looking at the pictures, and determine the effect of camouflage, so it canbe more influenced by man's subjective factors. And now, in order toobjectively reflect the camouflage effect, we set up a model through usingimages similarity to evaluate camouflage effect. Image similarity comparison isdivided into two main image feature comparison: image color features andtexture features of images. We now using computer design camouflage, camouflagepattern design is divided into two aspects of design color and design plaques.For the design of the color, we based on HSV color model, and as for the designof plague, the key steps are the background color edge extraction, we adoptalgorithm based on k-means clustering analysis of the method of backgroundcolor edge extraction.

Camouflage Design of Analysis Based on HSV Color Statistics and K-means Clustering