Abstract
This paper presents an adaptive camouflage system in visible band, featuring a dominant color feature-matching algorithm and pulse width modulation (PWM)-based display driving circuit. The control system consists of three parts, namely, the background sensing part, the central processing part, and the physical driving waveform generation part. Images of the local environment are sampled by the background sensing part, and then the dominant color feature matching algorithm is conducted to select a proper camouflage image that matches the local environment. Consequently, the cholesteric liquid crystals (CLCs) display using amplitude adjustable AC voltage, which is modulated by the physical driving waveform generation unit. The experimental results show that the matching degree of the proposed algorithm was 2.47 times that of the conventional hue (H), saturation (S), and value (V) histogram camouflage evaluation method, while the output peak wavelength of the reflective band can be adjusted from 604 to 544 nm according to the ambient color profile.
Highlights
Camouflage technology attracts widespread attention, while adaptive camouflage system for visible-light band is still a great challenge
InIAccording order to verify the feasibility of proposed dominant color feature grass image shown in was used as the environment image and the algorithm, we carried out experiments using grassland and jungle picturesdominant as local enviF [0, 0, 0,0,0, 630, 22, 77,990, 0, 0, 0, 0, (PWM)-based
The control system consists of three parts: background sensing, central processing, and physical driving waveform generation
Summary
Camouflage technology attracts widespread attention, while adaptive camouflage system for visible-light band is still a great challenge. The traditional display devices are onformats, backlight digital the images of the target and environment are heavily converteddependent into grayscale and modul whichthen bring difficulty to adjust the color and textures in real time [4]. Avoiding the which use ofbring backlight module In this presents paper, wethe present a dominant feature-matching algorithm for image second section architecture ofcolor an adaptive camouflage system, which is bas matching in the HSL space. T of grayscale histogram calculation in terms of complexity, matching efficiency, and accumatching result between cholesteric the camouflage image(CLCs) and local environment evaluated. Sci. 2021, 11, 6706 second section presents the architecture of an adaptive camouflage system, which is based on dominant color feature matching algorithm and CLC display. Methods consists the background part, the central processing part, and the physical dr
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