Infrared image segmentation method based on human eye visual characteristics

Abstract

The invention discloses an infrared image segmentation algorithm based on human eye visual characteristics, and belongs to the technical field of image segmentation algorithms. The objective of the invention is to solve the problems of limitation of an existing segmentation algorithm, influence of image noise and illumination, difficulty in human eye observation of a segmentation effect and the like. Firstly, human eye brightness perception characteristics and Weber-are utilized; And according to the Fecner law, properly processing an over-bright area and an over-dark area in the whole image,so that the target information is concentrated in a Weber area. Secondly, simulating a human eye vision system by utilizing the characteristic that the background intensity and the light intensity gradient are in a local linear relation in a logarithmic domain, establishing an HVS model, and segmenting the image into three regions; The segmented infrared picture effect conforms to the human eye perception characteristic, and the processing time is also improved to a certain extent.

Description

technical field [0001] The invention belongs to the category of infrared image segmentation methods, and in particular relates to an infrared image segmentation method based on the visual characteristics of human eyes. Background technique [0002] In complex situations, compared with visible light images, infrared images can more accurately represent the useful information in the image scene, so the segmentation and target recognition technologies of infrared images are also extremely important. However, the existing target segmentation algorithm is difficult to accurately segment the target in the infrared image, and it is difficult to effectively overcome the influence of image noise and illumination, which is not conducive to human observation. Based on the traditional algorithm, this paper conducts in-depth research on the segmentation method of infrared images. Considering the characteristics of human eyes well, a new image segmentation algorithm is proposed, which imp...

AI Technical Summary

Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the present invention provides an infrared image segmentation algorithm based on the visual characteristics of the human eye, which solves the limitations of the existing segmentation algorithm, as well as the influence of image noise and illumination, and the segmentation effect is not conducive to human observation and other complex images. question

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