Target image segmentation method, device and apparatus

Abstract

The embodiment of the invention discloses a target image segmentation method, device and apparatus. The method comprises the following steps of: locating an initial region of a position of a target inan image to be processed according to a condition set by the initial target region; using a color histogram and a visual saliency histogram of the initial target region as target features; Using thepre-constructed SVM model to select the target pixel points of multiple support vectors from the image to be processed, wherein the sample characteristics of each target pixel point are composed of their color histogram and visual saliency histogram; Determining a saliency region in the image to be processed based on the calculated feature distance between each target pixel point and the initialtarget region; According to the target feature and the sample feature, calculating the weight of each pixel point in the saliency region, and deleting the pixel points in the saliency region that do not satisfy the preset condition to obtain the final region as the target region, which is used for image extraction and segmentation. The present application improves the stability and accuracy of target image segmentation.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a target image segmentation method, device and equipment. Background technique [0002] With the rapid development of visual technology, image segmentation using image visual saliency is more and more widely used in the field of target recognition and tracking technology. The important problem facing target tracking and detection is the unpredictability that machine vision conditions need to face, which leads to deviations in the subsequent state of the expected target, changes in light intensity, changes in target shape and size, complex background changes, and unforeseen objects. Various factors such as occlusion will affect the system robustness of target image segmentation methods. [0003] At present, related technologies usually use color and edge contour to represent the characteristics of the target. Although the color feature is very ...

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Problems solved by technology

[0004] Embodiments of the present disclosure provide a target image segmentation method, device, and equipment, which solves the problem of unstable image segmentation results caused by using individual color features in related technologies, and effectively solves the problem of changes in illumination intensity, target deformation, and color distribution. The problem of unstable target image segmentation caused by similar problems improves the stability and accuracy of target image segmentation, and also improves the efficiency of image segmentation

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