Adaptive camouflage online design method and system
A design method and self-adaptive technology, applied in the field of data recognition, can solve the problems of inability to cope with side-view reconnaissance and small collection range, and achieve the effects of fast speed, good effect and convenient use.
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Embodiment 1
[0059] combine figure 1 , an adaptive camouflage camouflage online design system, including two parts, a central computer and an image acquisition device. The image acquisition device can be an unmanned aerial vehicle platform, which is mainly composed of a data transmission module, an image acquisition module, a flight control module, and a platform power module. The information communication module mainly completes the transmission of information such as flight control instructions, image acquisition module control instructions, and image acquisition through wireless transmission technologies such as Bluetooth or wifi. The image acquisition module is composed of optical system, pointing device, detector, etc. It is responsible for collecting images of corresponding areas according to the image acquisition control instructions received by the information communication module, and providing image materials for camouflage camouflage design or camouflage effect evaluation; the f...
Embodiment 2
[0110] combine figure 2 , an adaptive camouflage online design method, comprising the following steps:
[0111] Step 1, collect the background area image, and determine the camouflage design candidate area;
[0112] Step 2, extract the main color information of the panoramic background image: take the collected overall background as the object, and use the color image main color fast extraction method to extract the main color of the background panoramic image with the number of colors to be implemented as the camouflage camouflage. Statistics of the proportion of each main color;
[0113] Step 3, determine the candidate background area of the camouflage design;
[0114] Step 4, extract the main color information of the camouflage design candidate area: sequentially use the main color fast extraction algorithm of the color image to extract the main color and proportion information of the sample candidate area;
[0115] Step 5. Calculate the similarity between the candida...
Embodiment 3
[0171] The difference between this embodiment and Embodiment 2 is that it also includes:
[0172]Step 12, collect images for camouflage effect evaluation: use the UAV to collect background images containing targets according to certain specifications.
[0173] Step 13, evaluating the camouflage effect: the central computer receives the camouflage effect evaluation image, and evaluates the camouflage effect. If the camouflage effect does not meet the requirements, go to step 5 and select the next candidate area to redesign the camouflage camouflage; otherwise, the camouflage effect meets the requirements, the drone is recovered, and the camouflage design is completed. If the camouflage effects of all candidate area designs do not meet the requirements, the scheme with the best camouflage effect is selected as the final camouflage design scheme.
[0174] In step 12, the UAV platform collects images and collects at least five images in the following manner:
[0175] (1) Assumin...
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