Image fusion and target tracking system based on multi-core DSP

Abstract

The present invention provides an image fusion and target tracking system based on a multi-core DSP. The image fusion and target tracking system includes a centered optical system platform, a communicating module, an image preprocessing module, an image fusion processing module, a target enhancement processing module, a target tracking module, and a computer. The communicating module, the image preprocessing module, the image fusion processing module, the target enhancement processing module, and the target tracking module are realized through software programming in five processors of the DSP. The system can rapidly process images in real time, and feed back a processing result to the computer timely for displaying the processing result in real time.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image fusion and target tracking system based on multi-core DSP. Background technique [0002] Image fusion (ImageFusion) refers to the image data collected by multiple sources about the same target through image processing and computer technology, etc., to maximize the extraction of beneficial information in each channel, and finally synthesize a high-quality image. In short, it is to combine two or more images into a new image through an algorithm, and combine the rich information of multiple images into a new data set, so that the credibility of the image is higher and the scene is richer. It has been widely used in many fields, including the analysis and processing of remote sensing images, automatic identification, computer vision, and medical image processing. In the military field, image fusion technology has played an important role in systems such as precision guidanc...

AI Technical Summary

Problems solved by technology

However, these methods all focus on software implementation, and generally use platforms such as Matlab simulation software and Visual C++, which do not fully describe the entire software and hardware system, and cannot effectively implement the algorithm on the hardware platform, and cannot be engineered and commercialized

In addition, these methods are generally implemented on the hardware processing platform of the Da Vinci series, so it is impossible to track the target in real time and display the target tracking results

In addition, these methods are generally implemented based on the hardware processing platform of the Da Vinci series. Although the image acquisition and input methods are more convenient, they cannot meet the requirements of fast processing and parallel processing.

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