Image segmentation method and system based on frequency tuning global saliency and depth learning

A technology of frequency tuning and deep learning, applied in the fields of image processing and computer vision, can solve the problems of being easily disturbed by noise and greatly affecting the results of image segmentation, achieving good enhancement effects, maintaining texture detail information, and overcoming susceptibility to noise Effects and effects that tend to distort images

Active Publication Date: 2019-02-19
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the saliency enhancement obtained by these methods is easily disturbed by noise, and can only be saliency enhanced for simple images. Once faced with complex images, large-scale distortion will occur, which has a great impact on the results of image segmentation.

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  • Image segmentation method and system based on frequency tuning global saliency and depth learning
  • Image segmentation method and system based on frequency tuning global saliency and depth learning
  • Image segmentation method and system based on frequency tuning global saliency and depth learning

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[0033] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0034] The following describes the image segmentation method and system based on frequency-tuned global saliency and deep learning according to the embodiments of the present invention with reference to the accompanying drawings. First, the frequency-tuned global saliency and deep learning based on the embodiments of the present invention will be described with reference to the accompanying drawings. image segmentation method.

[0035] figure 1 It is a flowchart of an image segmentation method based on frequency-tuned global sal...

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Abstract

The invention provides an image segmentation method and system based on frequency tuning global saliency and depth learning. The method comprises the following steps: reading a target image and smoothing the target image through a Gaussian kernel filter to obtain the saliency of the smoothed image; establishing a saliency enhancement formula according to the saliency of the smooth image, and performing saliency enhancing the target image according to the saliency enhancement formula. The saliency-enhanced target image is expanded, and the enhanced image is segmented by the wide residual pyramid pooling network depth learning method to obtain the segmentation results. The saliency enhancement visual effect of the image obtained by the method is more striking, and the effect of image processing and analysis is also greatly improved, and the edge of the segmented region is clear, so that different objects in the image are effectively distinguished.

Description

technical field [0001] The invention relates to the technical fields of image processing and computer vision, in particular to an image segmentation method and system based on frequency tuning global saliency and deep learning. Background technique [0002] Image segmentation is a crucial part in the field of image recognition and computer vision. The basis for segmentation includes the brightness and color of pixels in the image. When the segmentation is automatically processed by the computer, various difficulties will be encountered, such as uneven illumination, The influence of noise, the existence of unclear parts in the image, and shadows, etc., these difficulties often cause segmentation errors. Therefore, image segmentation is one of the technologies that need to be continuously studied. People hope to introduce some artificial knowledge-oriented and artificial intelligence methods to correct some errors in segmentation. This is a promising method, but at the same t...

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Application Information

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Patent Type & AuthorityApplications(China)
IPC IPC(8): G06K9/34G06K9/32G06N3/04
CPCG06V10/25G06V10/267G06N3/045
Inventor王瑜马泽源
OwnerBEIJING TECHNOLOGY AND BUSINESS UNIVERSITY