A Salient Object Detection Method in Image Based on Adaptive Fusion Mechanism

Abstract

The invention discloses a method for detecting salient objects in an image based on an adaptive fusion mechanism, which utilizes color, depth, and distance information to locate and detect salient areas of an image, obtains preliminary detection results of salient objects in an image, and then utilizes An adaptive fusion mechanism optimizes the final result of saliency detection. The present invention uses multi-level depth information for saliency detection, which can increase the accuracy of saliency object detection; it also provides an adaptive fusion mechanism, which increases the robustness of saliency detection through continuous fusion, and is applicable to For more complex scenes, the scope of use is wider. The invention makes salient regions in the image appear more accurately, and can provide accurate and useful information for subsequent applications such as object recognition and classification.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting salient objects in an image by using an adaptive fusion mechanism. Background technique [0002] When facing a complex scene, the human eye will quickly focus on a few prominent visual objects and give priority to these objects. This process is called visual saliency. Saliency detection uses the visual biological mechanism of the human eye to simulate the proper processing of the image by the human eye with mathematical calculation methods, so as to obtain the salient object of a picture. Since we can prioritize the allocation of computing resources required for image analysis and synthesis through salient regions, it is of great significance to detect salient regions of images through computation. The extracted saliency images can be widely used in many computer vision applications, including image segmentation of objects of interest, object dete...

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to address the above-mentioned deficiencies in the prior art, and propose a new image salient object detection method based on an adaptive fusion mechanism, which can solve the problem that the existing salient detection is not accurate enough and not robust enough, so that The salient regions in the image are more accurately displayed, providing accurate and useful information for later applications such as target recognition and classification

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