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Abstract ▼ AI-Helper

In defense R&D, infrared images are commonly used for target detection and tracking systems. However, infrared images have a weakness in that their distribution of histograms for dynamic range leans toward one side. Therefore, improving the quality of images for robust performance and improved syste...

In defense R&D, infrared images are commonly used for target detection and tracking systems. However, infrared images have a weakness in that their distribution of histograms for dynamic range leans toward one side. Therefore, improving the quality of images for robust performance and improved system effectiveness is necessary. Extensive research has been conducted to solve this problem; however, two problems remain with respect to infrared images in marine environments in which the histogram distribution is concentrated in the gray level of background components. One problem concerns lost target information caused by the failure to set a proper threshold. The other concerns over-enhancement due to the excessive change in brightness in the target region. For this reason, this paper proposes an effective image enhancement method for infrared images for target recognition in a marine environment. The first step of the proposed method is to remove the background components of the image by using a modified Retinex algorithm. The next step is to determine the adaptive threshold of plateau histogram equalization to increase the target dynamic range using the data derived from the first step. Experiments were performed with marine infrared images, and the results indicate that our proposed method shows better enhancement performance compared with other conventional methods.

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