A novel approach for IR target localization based on IR and visible image fusion

Harbinder Singh, Haya Fatima, Samreeti Sharma, D. Arora
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引用次数: 1

Abstract

The main ambition of the research article is to present a approach for locating infrared (IR) targets by fusion of IR and visible images by making use of thresholding techniques. In this paper, a modified form of the existing local thresholding techniques is introduced which aims to overcome the major drawbacks of the already-developed methods. The binarization technique is used for separating the target from the background of infrared image. On combining this IR image with visible image, a better and enhanced resulting image possessing even minuscule details of the surrounding and the hidden targets are obtained. The technique proposed here generates an output which is immune to noise and preserves the edge information of the image.
一种基于红外与可见光图像融合的红外目标定位新方法
本文的主要目的是提出一种利用阈值分割技术融合红外和可见光图像的红外目标定位方法。本文介绍了现有局部阈值分割技术的改进形式,旨在克服已经开发的方法的主要缺点。采用二值化技术对红外图像进行目标与背景的分离。将该红外图像与可见光图像相结合,可以获得更好的增强图像,其中包含了周围和隐藏目标的微小细节。本文提出的方法产生了一种不受噪声影响的输出,并保留了图像的边缘信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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