Image salient object detection method and device

Abstract

The invention discloses an image salient object detection method and device, and belongs to the computer vision field. The method comprises the following steps that: a random forest is built according to an image; based on the random forest, a global image block rarity is used to capture an approximate shape of a salient object; the image is divided into an inner shape part and an outer shape part; through measurement of a contrast ratio between an inner image block and an outer image block, the inner image block similar to the outer shape part is suppressed, so as to highlight the outer image block similar to the inner shape part; and finally, image segmentation method based on image segmenting is used to modify a local image. The image salient object detection method provided by the invention can detect the object of any size in the image; the complete and accurate detection of the object can be achieved; at the same time, the image salient object detection method provided by the invention can detect a plurality of salient objects in one single image.

Description

technical field [0001] The invention relates to the field of computer vision, in particular to an image salient object detection method and device. Background technique [0002] Visual salience is a concept from neuroscience and physiology that makes attention-grabbing areas stand out from a person's visual field. [0003] Traditional visual saliency detection methods usually calculate saliency based on local or global contrastive analysis. Locality-based methods are sensitive to high-contrast edges and noise in images, thereby weakening smooth regions within objects, which makes them more suitable for detecting small objects. Among global contrast-based methods, patch-based methods also tend to extrude object boundaries rather than entire object regions. Although segmentation-based methods effectively overcome the "object weakening" problem (the interior of the object is suppressed), they still struggle to extrude the entire object when the interior of the object is not u...

AI Technical Summary

Problems solved by technology

[0008] 1. The existing saliency detection technology is not suitable for detecting small objects; 2. When the interior of the object is uneven, the existing saliency detection technology can only detect some parts of the object; 3. The existing saliency detection technology is difficult to detect a Multiple salient objects in an image

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