Infrared and visible image fusion method based on saliency map and interest point convex hulls

Abstract

The invention belongs to the technical field of image processing and particularly relates to an infrared and visible image fusion method based on a saliency map and interest point convex hulls. The infrared and visible image fusion method comprises the following steps that firstly, saliency detection is conducted on an infrared image, so that a binarized saliency map is obtained; secondly, interest point detection is conducted on the infrared image; thirdly, free interest points are removed, and salient interest points are obtained; fourthly, convex hulls of the salient interest points are obtained, AND operation is conducted on the binarized saliency map and a convex hull image, so that a target area is obtained, and the remaining portion of the image is used as a background area; finally, different fusion rules are adopted for the target area and the background area respectively, and the infrared image and the visible image are fused. By the adoption of the infrared and visible image fusion method, a few of interest points on a background can be removed, the obtained convex hulls of the salient interest points are more approximate to a real target, and by means of the saliency map, the target area can be more accurately extracted; the fusion performance is easily, rapidly and effectively improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an infrared and visible light image fusion method based on a saliency map and a convex hull of interest points. Background technique [0002] Image fusion is the process of combining multiple images of the same scene obtained by multiple image sensors of different modes, or multiple images obtained by the same sensor at different times or in different ways to synthesize an image containing information related to the input image. By comprehensively utilizing complementary and redundant information between different images, a more comprehensive and accurate image description of the scene can be obtained. Image fusion technology has been widely used in military, remote sensing, robotics, medical processing and computer vision and other fields. [0003] At present, most image fusion algorithms are mainly based on a single pixel or a window, and are proposed unde...

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Problems solved by technology

[0005] However, image segmentation has always been a key technology that needs to be broken through. At present, it is difficult to find a general segmentation algorithm to completely separate the target from the background, and the target is susceptible to interference from partial defects, background mixing, affine transformation, lighting and other factors. , leading to a decrease in the accuracy of the segmentation

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