&lt;title&gt;Three-dimensional reconstruction for high-speed volume measurement&lt;/title&gt;

Lee, Dah-Jye; Lane, Robert M.; Chang, G. Andy

doi:10.1117/12.417201

Cited by 14 publications

(5 citation statements)

References 7 publications

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“…Lee et al (2001) performed three-dimensional measurements and restructured a two-dimensional cross-section photography scan into a three-dimensional surface using charge coupled device (CCD) cameras and a multi-line laser [8][9]. In addition, it is possible to calculate the area of an oyster body using the cubic splines method [10] to estimate weight.…”

Section: Introductionmentioning

confidence: 99%

Weight Estimation of the Sea Cucumber (Stichopus japonicas) using Vision-based Volume Measurement

Lee¹,

Kim²,

Park³

et al. 2014

Journal of Electrical Engineering and Technology

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-Growth analysis and selection of sea cucumbers (Stichopus japonicas) is typically performed through length or weight measurements. However, because sea cucumbers continuously change shape depending on the external environment, weight measurement has been the preferred approach. Weight measurements require extensive time and labor, moreover it is often difficult to accurately weigh sea cucumbers because of their wet surface. The present study measured sea cucumber features, including the body length, width, and thickness, by using a vision system and regression analysis to generate R 2 values that were used to develop a weight estimation algorithm. The R 2 value between the actual volume and weight of the sea cucumbers was 0.999, which was relatively high. Evaluation of the performance of this algorithm using cross-validation showed that the root mean square error and worst-case prediction error were 1.434 g and ±5.879 g, respectively. In addition, the present study confirmed that the proposed weight estimation algorithm and single slide rail device for weight measurement can measure weights at approximately 4,500 sea cucumbers per hour.

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Section: Introductionmentioning

confidence: 99%

Weight Estimation of the Sea Cucumber (Stichopus japonicas) using Vision-based Volume Measurement

Lee¹,

Kim²,

Park³

et al. 2014

Journal of Electrical Engineering and Technology

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“…It was capable of sorting oyster meats into 3 sizes with an accuracy of 88% at a rate of 1 oyster every 2 seconds. Lee et al (2001) used a laser line-based method to predict the volume of oyster meat. Thickness was deduced by the shape of the laser line on the meat.…”

Section: Size/volumementioning

confidence: 99%

Untitled

Gümüş¹,

Balaban²,

Ünlüsayın³

2011

Turk. J. Fish. Aquat. Sci.

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Machine vision (MV) is a rapid, economic, consistent and objective inspection and evaluation technique. This nondestructive method has applications in the aquatic food industry. MV can perform many functions at once in an aquatic food processing line: sorting by species, by size, and by visual quality attributes, as well as automated portioning. In this review, the mode of operation and the components of a MV system are introduced, its applications to foods are briefly discussed, and the advantages and disadvantages listed. The literature in the MV applications to aquatic foods is grouped under the following topics: determination of composition, measurement and evaluation of size and volume, measurement of shape parameters, quantification of the outside or meat color of aquatic foods, and detection of defects during quality evaluation. Finally, brief examples from the industrial applications of this promising technology are given. Extensive bibliography is cited in this field. ÖzetBilgisayarlı resim analizi (BRA); hızlı, ekonomik, tutarlı ve objektif olarak kontrol etme ve değerlendirme metodudur. Ürüne zarar vermeyen bu metodun, su ürünleri endüstrisine uygulamaları bulunmaktadır. BRA"nın otomatik porsiyonlama gibi, çoğu fonksiyonu veya ürünün türe, ağırlığa ve görsel kalite özelliklerine göre sınıflandırması su ürünleri işlemesinde, hızlı bir şekilde uygulanabilir. Bu derlemede, BRA sisteminin çalışma biçimi ve parçaları, kısaca gıdalara uygulanması, avantajları ve dezavantajları açıklanmaktadır. Su ürünlerine BRA uygulamalarının kaynakçaları; su ürünleri kompozisyonun belirlenmesi, ağırlık ve hacimin değerlendirmesi, şekil özelliklerinin ölçülmesi, su ürünlerinin et ya da yüzey renginin tanımlanması ve kalite değerlendirmesi sırasında istenmeyen kusurların belirlenmesi şeklindeki başlıklar altında gruplandırılmıştır. Sonuç olarak; gelecek için umut verici bu teknolojinin, endüstriyel uygulamalardaki bazı örnekleri verilmektedir. Bu konular derlemede kapsamlı kaynakça ile belirtilmektedir.Anahtar Kelimeler: Bilgisayarlı resim analizi, resim değerlendirme, su ürünleri.

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“…However, the size of the binary image depends heavily on the threshold selected and it is very sensitive to the lighting variation. The use of an NIR camera and an interference filter to block the ambient light significantly improves the consistency of locating the contour points 5 . A fast contour trace algorithm was developed to extract the x and y coordinates of the object boundary as shown in Figure 4 (c).…”

Section: Image Processingmentioning

confidence: 99%

Three-dimensional surface approximation from incomplete data using distance transform

2002

Self Cite

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Three-dimensional (3-D) object surface reconstruction is an important step toward non-destructive measurements of surface area and volume. Laser triangulation technique has been widely used for obtaining 3-D information. However, the 3-D data obtained from triangulation are not dense enough or usually not complete for surface reconstruction, especially for objects with irregular shape. As a result of fitting surfaces with these sparse 3-D data, inaccuracy in measuring the surface area or calculating the volume of the object is inevitable.A computer vision technique combining laser triangulation and distance transform has been developed to improve the measurement accuracy for objects with irregular shape. A 3-D wire-frame model is generated first with all available 3-D data. Each pixel within the image boundary is given the distance information using distance transform. The distance information of each pixel is then used as the constraints for surface fitting and interpolation. With this additional information from distance transform, more accurate surface approximation can be achieved. The measurement accuracy of this technique is compared with other interpolation techniques for the volume measurement of oyster meats.

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<title>Three-dimensional reconstruction for high-speed volume measurement</title>

Cited by 14 publications

References 7 publications

Weight Estimation of the Sea Cucumber (Stichopus japonicas) using Vision-based Volume Measurement

Weight Estimation of the Sea Cucumber (Stichopus japonicas) using Vision-based Volume Measurement

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Three-dimensional surface approximation from incomplete data using distance transform

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