Salient image extraction processing method and system

A processing method and a processing system technology, which are applied in the field of salient image extraction processing methods and systems to achieve the effect of good accuracy.

Inactive Publication Date: 2018-11-20
NEW TECH APPL INST BEIJING CITY
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Problems solved by technology

[0005] Aiming at the above-mentioned problems in the prior art, the present invention solves the problem of processing accuracy of linear fusion of salient features

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  • Salient image extraction processing method and system
  • Salient image extraction processing method and system
  • Salient image extraction processing method and system

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Embodiment Construction

[0049] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0050] The invention provides a method for extracting and processing a salient image, and the processing method implements steps as follows: figure 1 Shown:

[0051] Step S100, RGB-D image acquisition based on the 3D image Kinect sensor.

[0052] Step S101 , analyzing the features of the current image through the RGB channels to obtain the RGB salient features of the current image.

[0053] Step S102, analyzing the features of the current image through the Depth channel to obtain the Depth salient features of the current image.

[0054] Step S103, assuming that the acquired RGB salient features an...

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Abstract

The invention discloses a salient image extraction processing method and system. The method comprises the steps: analyzing the characteristics of the current image through an RGB channel so as to obtain the RGB salient characteristics of the current image; analyzing the characteristics of the current image through the Depth channel so as to obtain the Depth salient characteristics of the current image; both the RGB salient characteristics and the Depth salient characteristics meet conditional independent distribution and are assumed to obey Gaussian distribution; and performing salient characteristic fusion based on the Bayesian framework to estimate the saliency posterior probability so as to obtain the image saliency area. Therefore, the invention has the beneficial effects that: the high-level saliency characteristics of the RGB image and the Depth image are extracted by using the deep convolutional neural network, the correlation of the saliency characteristics is analyzed, the saliency characteristics are fused under the Bayesian framework and 3D saliency detection is modeled by using the DMNB generation model so as to obtain good accuracy, recall rate and F-measure.

Description

technical field [0001] The invention relates to the technical field of image analysis, in particular to a method and system for extracting and processing salient images. Background technique [0002] Saliency detection is an important research content in computer vision, which refers to the process of simulating the human visual attention mechanism to accurately and quickly identify the most interesting region in the image. The RGB image saliency detection model based on the visual attention mechanism uses the low-level feature comparison calculation to obtain the saliency, including the global feature comparison calculation model, the local feature comparison calculation model and the combination of the global feature and local feature comparison calculation model. [0003] The saliency detection of RGB-D images adds Depth images compared to the saliency detection of RGB images, so the influence of Depth images on saliency calculation must be considered in the 3D saliency c...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06K9/46
CPCG06V10/462G06F18/24155G06F18/214
Inventor 王松涛靳薇曲寒冰
Owner NEW TECH APPL INST BEIJING CITY
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