Research On Salvage Technique Based On Infrared Imaging

Fast and effectual salvage can reduce loss in accident; ensure people's lives and belongings safety when shipwreck occurs. It is very important that discover targets betimes and exactly to insure the salvage going on wheels. Because of its unique advantages, infrared imaging systems have been more and more applied on targets automatic detecting, identifying and tracking, it will become main developing direction on salvage. However, existing infrared imaging system does not have the function of automatic recognition, just recognize targets by human eyes. In the condition of ship bumping and low contrast infrared images, this will result in visual tired and lost targets easily. Therefore, it is significant that design an infrared targets recognition system suitable for salvage.This paper analysis principle, nature and imaging character of different wave band infrared images. It contrasts several pre-treatment algorithms by simulating programming, obtains advantages and disadvantages of different algorithms. Against salvage characters of low image SNR and being easy interfered by background clutter, this paper uses a recognition method based on small targets: first smoothes background by adaptive threshold filtering for reducing disturbing of noise, then recognizes targets by image local entropy function. In the processes of recognition, uses genetic algorithms optimizing local entropy function to enhance searching efficiency. At last, designs hardware circuit for images processing based on DSP, and realizes real-time recognition on small infrared targets on the sea with above methods.According simulating experiment and data analysis on standard media-wave infrared images, obtains the results that this method can recognize targets effective, achieve the desired objectives, have higher utility.