Saliency detection method based on depth selective difference

The invention provides a saliency detection method based on depth selective difference. The method comprises the steps: depth images are acquired as input, smooth process is performed on each depth image, a selective difference value of each segmentation area are calculated, and an initial saliency...

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Bibliographic Details
Main Authors LI CANCAN, FU LIHUA, CHEN QIUXIA, DING HAOGANG, WANG DAN
Format Patent
LanguageChinese
English
Published 28.07.2017
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Summary:The invention provides a saliency detection method based on depth selective difference. The method comprises the steps: depth images are acquired as input, smooth process is performed on each depth image, a selective difference value of each segmentation area are calculated, and an initial saliency image is optimized according to center preference, so that a final saliency detection result is obtained. Use of the method solves a problem that an object of which visual features are similar with the background can not be detected purely based on a color image and a problem that a bottom background area ignored based on a depth image causes false detection. According to the invention, the method is suitable for saliency detection method of the depth image, the computation complexity is relatively low, the detection result is accurate, and the method has wide application in the field of image processing and computer vision. 本发明提供了种基于深度选择性差异的显著性检测方法。该方法首先获取深度图像作为输入,然后对每张深度图像进行平滑处理,接着计算每个分割区域的选择性差异值,最后依据中心偏好优化初始显著图,
Bibliography:Application Number: CN20171150961