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Image segmentation method fusing depth and color information

An image segmentation and depth image technology, applied in the field of image segmentation that fuses depth and color information, can solve problems such as low contrast of edge features, and achieve the effect of improving quality and accuracy

Pending Publication Date: 2019-12-24
SIASUN CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

When different adjacent objects in the image have similar colors, or when the contrast of edge features is low, these methods are difficult to distinguish them

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  • Image segmentation method fusing depth and color information
  • Image segmentation method fusing depth and color information
  • Image segmentation method fusing depth and color information

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Embodiment Construction

[0056] Various exemplary embodiments of the present invention will now be described in detail. The detailed description should not be considered as a limitation of the present invention, but rather as a more detailed description of certain aspects, features and embodiments of the present invention.

[0057] It will be apparent to those skilled in the art that various modifications and changes can be made in the specific embodiments of the present invention described herein without departing from the scope or spirit of the present invention. Other embodiments will be apparent to the skilled person from the description of the present invention. The specification and examples in this application are exemplary only.

[0058] attached figure 1 A flowchart of an exemplary embodiment of the present invention is given in . As shown in the figure, the specific steps of this embodiment include:

[0059] Step 1: RGB-D data preprocessing. Due to the influence of working distance, occl...

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Abstract

The invention provides an image segmentation method fusing the depth and color information, and the method mainly comprises the steps of carrying out RGB-D data preprocessing, carrying out the medianfiltering under the guidance of the image edge information, and improving the quality of a depth image; carrying out RGB-D image super-pixel segmentation, fusing the color and depth information, andcarrying out over-segmentation on the image; and merging the super-pixels, merging the similar super-pixels by adopting a spectral clustering method based on a graph theory, converting the clusteringinto a graph division problem, and completing the image segmentation. According to the invention, the depth map is converted into the three-dimensional point cloud according to the imaging geometry principle, and then the image is segmented by integrating the depth information and the color information, so that the image segmentation quality and precision are improved.

Description

technical field [0001] The invention relates to the fields of image processing and computer vision, in particular to an image segmentation method that combines depth and color information. Background technique [0002] Image segmentation is a hot topic in the field of computer vision, and it plays an important role in many applications such as object recognition, target positioning and tracking, image retrieval, 3D reconstruction, robot navigation and positioning, etc. Traditional RGB image segmentation methods use low-level features such as color space, texture, and color distribution histogram to divide the image into non-overlapping connected regions, so that the same region has a high degree of similarity, while different regions have greater differences. When different adjacent objects in the image have similar colors, or when the contrast of edge features is low, these methods have difficulty in distinguishing them. [0003] In recent years, with the rapid development...

Claims

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Application Information

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IPC IPC(8): G06T7/13G06T5/00G06T7/50G06T7/90G06K9/62
CPCG06T7/13G06T7/50G06T7/90G06T2207/20032G06F18/23213G06T5/77
Inventor 杨跞钱成越张根雷刘一帆李法设
Owner SIASUN CO LTD
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