Detection and Dimension of Moving Objects Using Single Camera Applied to the Round Timber Measurement

Chiryshev, Yurii V.; Kruglov, Artem; Atamanova, Anastasia S.; Zavada, Svetlana G.

doi:10.15439/2017f26

Cited by 1 publication

(1 citation statement)

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“…Kruglov employed a camera to acquire the wood image, used an image segmentation method to detect the 3D structural information to measure the size of the wood log, and the error was only 4.8% compared to manual measurement [16]. Yurii developed a conveyor-tracking system that extracted wood images and measured the wood size from video sequences, and decreased the minimum mean square error that only 0.045 ± 0.041 [17]. These image-based methods are more portable than labor measurement, achieved high detection accuracy, and improved the efficiency of the measurement.…”

Section: Introductionmentioning

confidence: 99%

A Novel Wood Log Measurement Combined Mask R-CNN and Stereo Vision Camera

Sun

Cao³

et al. 2023

Forests

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Wood logs need to be measured for size when passing through customs to verify their quantity and volume. Due to the large number of wood logs needs through customs, a fast and accurate measurement method is required. The traditional log measurement methods are inefficient, have significant errors in determining the long and short diameters of the wood, and are difficult to achieve fast measurements in complex wood stacking environments. We use a Mask R-CNN instance segmentation model to detect the contour of the wood log and employ a binocular stereo camera to measure the log diameter. A rotation search algorithm centered on the wood contour is proposed to find long and short diameters and to optimal log size according to the Chinese standard. The experiments show that the Mask R-CNN we trained obtains 0.796 average precision and 0.943 IOUmask, and the recognition rate of wood log ends reaches 98.2%. The average error of the short diameter of the measurement results is 5.7 mm, the average error of the long diameter is 7.19 mm, and the average error of the diameter of the wood is 5.3 mm.

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Section: Introductionmentioning

confidence: 99%