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Based on the complexity and randomness of the infrared image degradation factors, and integrates the strong de-noising features of multi-scale morphological wavelet and the salient problem solving features of Hopfield neural network in optimization, this paper presents a new algorithm for infrared degraded image restoration. The algorithm takes advantage of the continuous recycle between "multi-scale...
Infrared image enhancement is a research focus as well as one of the difficulties in the field of information processing. Rough sets theory is a new mathematical tool to solve the issue of ambiguity and uncertainty. Curvelet transform develops from wavelet transform and has noticeable effect in denoising and signal enhancing. Based on the features of infrared image and human visual properties and...
Present a license plate localization method about narrowing region gradually. According to the smooth curve shape of gray-scale histogram, distinguish between daytime and nighttime for license plate images. For daytime image, with longitudinal difference, iterative binarization, and removing-noise erosion, give prominence to the transverse lines of vehicle body; with the longitudinal projection smooth...
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