Image saliency object detection method based on central dark channel priori information

Abstract

The invention discloses an image saliency object detection method based on central dark channel priori information. The image saliency object detection method comprises the steps of: performing positioning detection on a saliency region of an image, so as to obtain an initial detection result of a saliency object in the image; and utilizing the central dark channel priori information provided by the invention to optimize a final result of saliency detection. The image saliency object detection method can detect the saliency object more precisely and more robustly. The image saliency object detection method utilizes the central dark channel priori information for conducting saliency detection, can improve the precision of saliency object detection, further enhances the robustness of saliency detection, can solve the problems that the existing saliency detection is not high in precision and has insufficient robustness, so that the saliency region in the image can be displayed more precisely, provides precise and useful information for later application such as target identification and classification, is suitable for more complex scenes, and has wider application range.

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 prior information of a central dark channel. 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 intere...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the deficiencies of the above-mentioned prior art, the present invention proposes a new image salient object detection method based on the central dark channel prior information, which can solve the existing problems of low accuracy and insufficient robustness of salient detection , 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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