Foam infrared image segmentation method based on NSST saliency detection and image segmentation
An infrared image, a remarkable technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problems of difficult extraction of watershed identification points, low resolution and contrast, blurred segmentation area, etc., to solve over-segmentation and under-segmentation. Problems, strong anti-interference ability, and the effect of improving segmentation accuracy
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[0035] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0036] The invention provides a foam infrared image segmentation method based on NSST saliency detection and graph cuts. First, the foam infrared image is decomposed by NSST to obtain low-frequency sub-band images and multi-scale high-frequency sub-bands; secondly, the GBVS algorithm is used to Perform saliency detection on low-frequency sub-band images to obtain saliency values and visual saliency maps; then, calculate thresholds and scale correlation coefficients for each high-frequency direction sub-band coefficient, and remove noise coefficients and nonlinear enhanced edge and weak edge coefficients; finally, The NSST reconstructed image is combined with visual saliency to perform graph cuts to obtain segmentation results. like figure 1 As shown, the method specifically includes the following steps:
[0037] Step 1. Perform NSST multi-s...
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