Hull-voxel reconstruction of images as a means of structural analysis

Vengrinovich, V. L.; Zolotarev, S. A.

doi:10.1134/s1054661813010124

Cited by 1 publication

(1 citation statement)

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“…Considering the complicated physical conditions such as road cracks in the transportation channel and ground lamps, it is often impossible to accurately detect foreign objects based on a single two-dimensional image processing method [10]. To this end, this study is based on the traditional vehicle-mounted camera monitoring technology, first to make the system adapt to changes in weather conditions, using image enhancement and other pre-processing methods to improve the quality of video images.…”

Section: Introductionmentioning

confidence: 99%

Foreign object recognition technology for port transportation channel based on automatic image recognition

Jiang

Peng

et al. 2018

J Image Video Proc.

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In the port transportation, the transportation vehicle is extremely easy to cause a bad condition in the transportation process due to the influence of foreign matter, and the current foreign matter detection is still carried out by manual methods. Based on this, this study is based on the automatic image recognition technology, using the binocular imaging system for video collection and analyzing the video images for foreign object recognition. We use extreme median filtering to perform image noise processing and improve the traditional Canny edge detection algorithm to obtain an improved edge detection method for Canny operator. The algorithm is used to perform image edge detection, and the image gray histogram is used to enhance the foreign object image processing. Combined with the experimental analysis, the detection method of this study has certain effects, which can be used for foreign object identification in port transportation channels and can provide theoretical reference for subsequent related research.

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Section: Introductionmentioning

confidence: 99%