Fast visual recognition of Scots pine boards using template matching

Johansson, Erik M. J.; Pahlberg, Tobias; Hagman, Olle

doi:10.1016/j.compag.2015.08.026

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…The method of matching fingerprints is template matching, in which the initial image of the wood is compared with images in a database. The pair of images with the highest value of matching is most likely the same piece of wood [92]. For optimal images of the timber, the cut should be smooth (but does not need to be sanded) and free from contamination, and there should be no light coming in from the background.…”

Section: Passive Opticalmentioning

confidence: 99%

Systematics of Forestry Technology for Tracing the Timber Supply Chain

Kaulen,

Stopfer,

Lippert

et al. 2023

Forests

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Traceability is the ability to follow the processes that a raw material or product goes through. For forestry, this means identifying the wood from the standing tree to the mill entrance and recording all information about the technical (production) and spatial (transportation) manipulation of the timber by linking it to the ID. We reviewed the literature for developments in timber flow traceability. Findings range from disillusionment with the non-application of available forestry technology to enthusiasm for the advancement of technology that—given appropriate incentives of an economic, environmental, consumer-oriented and legislative nature—can rapidly lead to widespread end-to-end media-interruption-free implementation. Based on our research, the solution lies in optical biometric systems that identify the individual piece of wood—without attaching anything—at three crucial points: during assortment at the skid road, at the forest road and at the mill entrance. At all of these points, the data accruing during the timber supply process must be linked to the ID of the piece of wood via data management.

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Section: Passive Opticalmentioning

confidence: 99%

Systematics of Forestry Technology for Tracing the Timber Supply Chain

Kaulen,

Stopfer,

Lippert

et al. 2023

Forests

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show abstract

“…This camera will take a picture that is in front of the user and recognize whether there is a moving object so that it can prevent the user to bump into it. Images taken by the camera will be processed using Template Matching method have been used with great success over the years as image processing method [16], this method used to recognize obstacles and suggest a sign that should be performed by the user, this method have several benefits such as low storage requirements and its effectiveness when the amount of training data is limited [17], furthermore this method accurate enough to detect objects but no one has used this method on walking aids to help the blind, although this method has been used to identify boards of Scots pine to enables tracking of individual boards through an industrial process [18], Rajithkumar and Mohana used the algorithm to recognized the stone Inscripted Kannada Characters of Different Time Frames Based on Correlation Analysis [19], Bao used template matching algorithm to recognize the object of cucumber where this method is embedded on the harvesting robot [20], Pham used the method for object recognition in infrared video sequences [21], and Principi used the method to so based on some literature review above it can be said that this research has novelty in science on how the template matching method can be effectively used to help people to identify and recognize some silent objects.…”

Section: Introductionmentioning

confidence: 99%

Detection of immovable objects on visually impaired people walking aids

2019

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One consequence of a visually impaired (blind) person is a lack of ability in the activities related to the orientation and mobility. Blind person uses a stick as a tool to know the objects that surround him/her.The objective of this research is to develop a tool for blind person which is able to recognize what object in front of him/her when he/she is walking. An attached camera will obtain an image of an object which is then processed using template matching method to identify and trace the image of the object. After getting the image of the object, furthermore calculate and compare it with the data training. The output is produced in the form of sound that in accordance with the object. The result of this research is that the best slope and distance for the template matching method to properly detect silent objects is 90 degrees and 2 meters.

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Individual wood board tracing method using oriented fast and rotated brief method in the wood traceability system

Sun

Lin

et al. 2022

Wood Sci Technol

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Fast visual recognition of Scots pine boards using template matching

Cited by 7 publications

References 10 publications

Systematics of Forestry Technology for Tracing the Timber Supply Chain

Systematics of Forestry Technology for Tracing the Timber Supply Chain

Detection of immovable objects on visually impaired people walking aids

Individual wood board tracing method using oriented fast and rotated brief method in the wood traceability system

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