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Image partitioning method and device

An image segmentation and image technology, applied in the field of image processing, can solve problems such as segmentation errors, poor real-time performance, and high algorithm complexity

Active Publication Date: 2018-06-15
ZHEJIANG DAHUA TECH CO LTD
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Problems solved by technology

[0003] In the existing technology, scene analysis such as indoor real-time positioning and map reconstruction of 3D images is mainly to directly recognize the images. Due to the interference of the ground and ceiling, the amount of data during image segmentation is greatly increased. In addition, the 3D image The direct processing of depth information requires a long processing time, which makes the algorithm more complex and less real-time, and it is easy to cause segmentation errors of the target during image segmentation

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Embodiment Construction

[0047]Image segmentation is the key technology to enable 3D camera equipment to perceive the unknown environment. 3D camera equipment can collect 3D space scene information. After the introduction of depth information, 3D space image segmentation can segment images more effectively, and can extract 3D images of objects in the scene. Size, position and shape information, as well as the recognition of planes and curved surfaces in various objects in the scene, enable 3D camera equipment to realize human body detection and recognition, face detection and recognition, scene semantic analysis and map making positioning relative to two-dimensional space images and other sensory functions.

[0048] Image segmentation in the indoor environment is the premise to realize the operation of mobile platform obstacle avoidance, tracking, recognition, etc., and at the same time helps to obtain information such as the size, position and shape of the object, so as to provide technology for the f...

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Abstract

The invention discloses an image partitioning method and device. The method comprises the steps that a first frame three-dimensional point cloud image collected under a horizontal viewing angle is acquired; and a first ground equation and feature transformation are acquired; according to the first ground equation and point cloud data in the first frame three-dimensional point cloud image, a secondground equation of the first frame three-dimensional point cloud image is determined; according to the feature transformation and the second ground equation, a first ceiling equation of the first frame three-dimensional point cloud image is determined; according to the second ground equation and the first ceiling equation, first to-be-partitioned data is determined, wherein the first to-be-partitioned data is point cloud data, except point cloud data in the second ground equation and point cloud in the first ceiling equation, in the first frame three-dimensional point cloud image; and image partitioning is performed according to the first to-be-partitioned data.

Description

technical field [0001] The present application relates to the field of image processing, in particular to an image segmentation method and device. Background technique [0002] With the improvement of the performance of software and hardware equipment and the development of artificial intelligence technology, 3D camera equipment has received more and more attention. When 3D camera equipment performs autonomous tasks in unknown environments, it is necessary to analyze the scene in the environment. And understanding, that is, to recognize and understand the target in the current field of vision like the human brain, to be able to intelligently perceive the environment in which it is located and to complete the tasks specified manually, and the segmentation of the image acquired by the scene is the theoretical basis for scene analysis or understanding and prerequisites. [0003] In the existing technology, scene analysis such as indoor real-time positioning and map reconstruct...

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Application Information

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IPC IPC(8): G06T7/11G06T7/187
CPCG06T7/11G06T7/187G06T2207/10028
Inventor 陈平卢维
Owner ZHEJIANG DAHUA TECH CO LTD
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