An Adaptive Threshold Segmentation Method for Light Strip Image
An image segmentation and self-adaptive technology, applied in the field of binocular vision, can solve the problem of uneven grayscale distribution of light strip images, and achieve the effect of avoiding the difficulty of light strip extraction and improving the extraction accuracy.
Inactive Publication Date: 2019-11-19
DALIAN UNIV OF TECH
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[0004] Aiming at the problem of uneven distribution of light stripe images on the surface of large aeronautical components, the present invention invents an adaptive light stripe image threshold segmentation method
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[0031] The specific implementation manner of the present invention will be described in detail below in conjunction with the accompanying drawings and technical solutions.
[0032] In this embodiment, the object to be measured is a t800 composite material plate, and a blue-violet laser with a wavelength of 460 nm is projected onto the composite material plate.
[0033] The invention adopts a camera equipped with a wide-angle lens to shoot light strip images. The camera model is view works VC-12MC-M / C 65 camera, resolution: 4096×3072, image sensor: CMOS, frame rate: full frame, maximum 64.3fps, weight: 420g. The wide-angle lens model is EF 16-35mm f / 2.8L II USM, the parameters are as follows, lens focal length: f=16-35mm, APS focal length: 25.5-52.5, aperture: F2.8, lens size: 82×106. The shooting conditions are as follows: the picture pixel is 4096×3072, the focal length of the lens is 25mm, the object distance is 750mm, and the field of view is about 850mm×450mm.
[0034] T...
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The invention belongs to the field of binocular vision technology, and relates to a self-adaptive light strip image threshold segmentation method. According to the method, initial light strip regionsare divided through a conventional fixed-threshold image segmentation method to obtain column coordinates of left and right boundaries of light strip cross-sections; then establishing image grayscaledistribution evaluation indexes, wherein light strip cross-section energy intensity of in each row of the light strip cross-sections is calculated according to an initial threshold segmentation result; calculating grayscale distribution levels of ideal light strip cross-section energy intensity according to light strip distribution characteristics; and then establishing a self-adaptive light stripimage threshold segmentation association model with positive correlation with light strip image grayscale distribution coefficients to determine self-adaptive image segmentation thresholds of a lightstrip image, and accurately separating the light strip regions from a background. According to the method, extraction precision of the surface light strips of a large-scale aviation component of a random curved surface is improved, and the problem that local overexposure or too dark local light strips cause difficult light strip extraction and not high light strip extraction precision is avoided.
Description
technical field [0001] The invention belongs to the technical field of binocular vision, and relates to an adaptive light strip image threshold value segmentation method. Background technique [0002] In the process of visual measurement, accurate light strip center extraction is the key to realize high-precision 3D measurement. However, in the case of large aeronautical components as measurement objects, since their surfaces are usually free-form surfaces, the projected light strips are modulated by the surface of the workpiece to be measured and distorted into free-curve light strips in the captured image; Due to the influence of high reflection and uneven overall illumination, the gray level distribution of the captured light strip image is seriously uneven. At the same time, there are the phenomenon of overexposure of light strips in local areas and too dark light strips in local areas, which seriously affects the integrity of light strip extraction. and precision. In ...
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IPC IPC(8): G06T7/136G06T7/194
Inventor 刘巍张致远叶帆赵海洋兰志广张洋马建伟贾振元
Owner DALIAN UNIV OF TECH