Image fusion method based on dynamic object detection

Abstract

The invention discloses an image fusion method based on dynamic target detection, belonging to the technical field of image processing. The method comprises the following steps: detecting and extracting a moving object in an infrared image sequence; carrying out quick rectification on a low-light image by using the infrared image as a reference; then fusing infrared images and the low-light image;and finally, carrying out secondary fusion on the extracted object and the fusion image. Proved by experimental results, the fusion image obtained in the invention not only has the characteristic ofabundant information of an ordinary fusion method, but also has vivid infrared object indication characteristics. In addition, the invention can also provide coordinate information of the infrared object, which provides a probability for accurately positioning the object, and has wide application prospect in military and civil fields such as night investigation, security monitoring, and the like.

Description

technical field

[0001] The invention relates to a method in the technical field of image fusion processing, in particular to a low-light and infrared image fusion method based on dynamic target detection. Background technique

[0002] Single-spectral imaging systems usually only provide part of the spectral information of the target, while multi-detector systems working in different spectral segments use the complementarity and redundancy of data from different detectors to obtain information from their independent measurement spaces. Multispectral fusion imaging is to use data fusion technology to synthesize information from different sources to overcome the defects of single detectors. For example, infrared detectors have the ability to identify camouflage, and can detect people, vehicles, and artillery hidden in woods and grass, but they are not sensitive to changes in the brightness of the scene, and the imaging resolution is low, which is not conducive to human interpre...

Examples

Embodiment Construction

[0033] combine figure 1 , the image fusion method based on dynamic target detection of the present invention comprises the following steps:

[0034] Step 1, using an infrared camera to collect images;

[0035] Step 2. Compare the collected infrared image with the ideal image to detect whether there is a moving target in the infrared field of view; if there is a moving target, perform step 3, otherwise return to step 1; combine figure 2 , the steps to detect whether there is a moving target in the infrared field of view are as follows:

[0036] First, the ideal image Make an estimate:

[0037] I n ^ ( x , y ) = K I n - 1 ^ ( x , y ) ...

technical field

[0001] The invention relates to a method in the technical field of image fusion processing, in particular to a low-light and infrared image fusion method based on dynamic target detection. Background technique

[0002] Single-spectral imaging systems usually only provide part of the spectral information of the target, while multi-detector systems working in different spectral segments use the complementarity and redundancy of data from different detectors to obtain information from their independent measurement spaces. Multispectral fusion imaging is to use data fusion technology to synthesize information from different sources to overcome the defects of single detectors. For example, infrared detectors have the ability to identify camouflage, and can detect people, vehicles, and artillery hidden in woods and grass, but they are not sensitive to changes in the brightness of the scene, and the imaging resolution is low, which is not conducive to human interpre...

Examples

Embodiment Construction

[0033] combine figure 1 , the image fusion method based on dynamic target detection of the present invention comprises the following steps:

[0034] Step 1, using an infrared camera to collect images;

[0035] Step 2. Compare the collected infrared image with the ideal image to detect whether there is a moving target in the infrared field of view; if there is a moving target, perform step 3, otherwise return to step 1; combine figure 2 , the steps to detect whether there is a moving target in the infrared field of view are as follows:

[0036] First, the ideal image Make an estimate:

[0037] I n ^ ( x , y ) = K I n - 1 ^ ( x , y ) ...

Images