Merging system for multiscale edge detection

Laligant, Olivier; Truchetet, Frédéric; Mitéran, Johel; Gorria, Patrick

doi:10.1117/1.1869998

Cited by 10 publications

(5 citation statements)

References 18 publications

(13 reference statements)

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“…In the following, we will refer to this method for detecting edges as the EdgeWav method. Comparative methods can be found in [20,23], where merging is stated with an additional training phase in order to select the edges. For this application, only the moduli of edge pixel coefficients are required.…”

Section: Methodsmentioning

confidence: 99%

Surface Reconstruction of Wear in Carpets by Using a Wavelet Edge Detector

Vargas

Jaramillo²,

Meulemeester

et al. 2010

Advanced Concepts for Intelligent Vision Systems

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Abstract. Carpet manufacturers have wear labels assigned to their products by human experts who evaluate carpet samples subjected to accelerated wear in a test device. There is considerable industrial and academic interest in going from human to automated evaluation, which should be less cumbersome and more objective. In this paper, we present image analysis research on videos of carpet surfaces scanned with a 3D laser. The purpose is obtaining good depth images for an automated system that should have a high percentage of correct assessments for a wide variety of carpets. The innovation is the use of a wavelet edge detector to obtain a more continuously defined surface shape. The evaluation is based on how well the algorithms allow a good linear ranking and a good discriminance of consecutive wear labels. The results show an improved linear ranking for most carpet types, for two carpet types the results are quite significant.

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Section: Methodsmentioning

confidence: 99%

Surface Reconstruction of Wear in Carpets by Using a Wavelet Edge Detector

Vargas

Jaramillo²,

Meulemeester

et al. 2010

Advanced Concepts for Intelligent Vision Systems

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show abstract

“…The points were applied to the solution of an optimal route curve and the formation of an optimal edge curve. Do the region uniformity computation [8],…”

Section: Advanced Mechanical Designmentioning

confidence: 99%

3D Model Reconstruction of the Broken Aeroengine Blade Based on Multi-Scale Genetic Algorithm

Wang

Cai

Wang

2012

AMR

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This paper made the 3D model reconstruction of the CFM56-5B turban blade. First, collected rough points cloud data by using visual measuring equipment. Then, smoothed and filtered the point cloud data, took the rational simplification, finished pre-processing the point cloud data. Finally, multi-scale genetic algorithm was used for fitting the edge of turban blade, and reconstructed the 3D digital model. The results proved that this method improved smoothness of the model, and reduced time and cost of modeling and machining.

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“…The second group illustrates a different strategy, in which the cues and information for edge points are derived and later merged, with the information obtained from each scale, e.g., Refs. [12,13]. The third group aims to determine a single, non-homogeneous scale that can be used at each pixel or sub region by observing the local characteristics, e.g., Refs.…”

Section: Introductionmentioning

confidence: 99%