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Given the limitations of traditional Robinson guard filter, a novel algorithm is proposed to suppress background of infrared (IR) images. First, according to human visual contrast mechanism, regions of interest (ROIs) can be obtained. Then approximate sizes of candidate targets can be acquired by extracting outlines of ROIs. Based on that, the window size of Robinson guard filter can be adjusted adaptively...
In this paper, we use the bilateral filter to de-noise nighttime infrared monitoring images, in order that noises are reduced and edges are preserved. Considering that traditional bilateral filter does not balance gray-scale difference and the geometric distance in determining the weights of convolution kernel coefficients, we propose to give the two different values different weights, so that both...
This paper discusses the infrared small targets detection and tracking problem. Based on mathematical morphology, the Soft mathematical morphology filter can filters out the local catastrophe points, but at the same time the noise is also enhance, and morphology TOP-HAT filter performs better than Soft mathematical morphology filter, but it can not locate the target preciously. Combing these two methods,...
Aimed at the infrared images with mixed noise, this paper proposes a new adaptive weighted mixed filtering algorithm. The new algorithm first judges the type of the noise according to the difference values of pixel's neighborhood region. Then removes the gauss noise by self-adaptive weighted mean filter and removes the impulse noise by self-adaptive weighted median filter. The result of computer simulation...
It is very important to study non-uniformity correction algorithm in infrared focal plane array (IRFPA). In order to improve the convergence speed and non-stability in traditional neural network non-uniformity correction algorithm, a new scene-based non-uniformity correction algorithm for IRFPA was designed in this paper. The algorithm firstly arrange a pixelpsilas gray value and its around eight...
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