Fuzzy moving target segmentation method for wide-baseline multi-array optical detection system
An optical detection and multi-array technology, applied in the field of optical detection, can solve problems such as poor results
Active Publication Date: 2017-03-15
NORTHWESTERN POLYTECHNICAL UNIV
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Moving targets usually show a blur effect in the image. Due to the consistency of the target and the background, the commonly used segmentation methods such as Gaussian mixture model segmentation method and image difference method are not effective.
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[0110]The present invention provides a method for segmenting fuzzy moving targets in a wide-baseline multi-array optical detection system, which is specifically implemented according to the following steps:
[0111] Step 1. Camera calibration:
[0112] Three cameras are arranged at a long distance, which are camera HS-L, camera LS-M and camera HS-R in sequence, among which the camera HS-L and camera HS-R on both sides are high-speed cameras, and the camera LS-M in the middle A low-speed high-resolution camera;
[0113] Use the opencv calibration toolbox to calibrate each camera, and obtain the internal parameter matrix K, pose R, T and Distortion distortion parameters of each camera. Among them, K includes the focal length and the imaging origin, R is the rotation matrix, and T is the translation vector.
[0114] The parameters after camera HS-LD calibration are:
[0115]
[0116] Distortion=[-0.136 12.045 -0.009 0.008], T=[4.102 8.863 279.054],
[0117] The parameters ...
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The invention discloses a method for segmenting fuzzy moving targets by wide-baseline multi-array optical detection system. The method consists of the steps of: arranging two groups of high-speed camera arrays and one group of low-speed camera arrays in the manner of wide-baseline distribution, and collecting moving targets to acquire a high-speed high-resolution image and a low-speed fuzzy image; pre-segmenting the low-speed fuzzy image to acquire a fuzzy moving target multi-feature fusion segmentation image; segmenting the high-speed high-resolution image with the Gaussian mixture model to acquire a foreground segmentation image thereof; carrying out the rectification & matching and three-dimensional reconstruction of the high-speed high-resolution image to acquire a scene depth image thereof; marking the scene depth image with the foreground segmentation image to acquire a foreground depth image; projecting the foreground depth image into the low-speed fuzzy image to acquire a fuzzy moving target multi-view segmentation image; fusing a fuzzy moving target multi-feature fusion segmentation model and the fuzzy moving target multi-view segmentation image to acquire a multi-feature multi-view fusion joint mark image, and then cutting out the multi-feature multi-view fusion joint mark image; thus, the requirement for high-precision segmentation of fuzzy moving targets is met.
Description
technical field [0001] The invention belongs to the technical field of optical detection, and in particular relates to a method for segmenting fuzzy moving targets in a wide-baseline multi-array optical detection system. Background technique [0002] Image restoration is an important research topic in the field of machine vision. Object motion blur is a common cause of image degradation, involving many civil, military, and scientific research fields. The moving target usually shows a blur effect in the image. Due to the consistency of the target and the background, the commonly used segmentation methods such as Gaussian mixture model segmentation method and image difference method are not effective. Contents of the invention [0003] The purpose of the present invention is to provide a method for segmenting fuzzy moving targets in a wide-baseline multi-array optical detection system, which can meet the requirements of high-precision segmentation of fuzzy moving targets and...
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IPC IPC(8): G06T7/11G06T7/215
Inventor 潘利源潘泉赵春晖张夷斋薛松胡亮吕鑫刘流吕洋吴薇马娟娟刘慧霞
Owner NORTHWESTERN POLYTECHNICAL UNIV