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Author: search.filters.author.Suesut, TaweepolSubject: search.filters.subject.3D reconstruction

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    A Fast and Simple Machine Vision Framework for Approximating the Volume of Axi-Symmetric Objects Using Shadow Ray Casting
    (2024-01-01)
    Sukprasertchai, Siwakorn
    ;
    Suesut, Taweepol
    ;
    Nunak, Navaphattra
    The volume measurement using machine vision system is contactless techniques that play an important role in industries now a day. Basically, three-dimensional reconstruction is required to determine a depth using a special lighting system or multiple cameras. This increases the complexity of the measurement system. A fast and simple machine vision framework called RayVol for estimating the volume of axisymmetric objects in near real-time using a single camera and simple illumination is presented. The RayVol framework employs a shadow casting method to reconstruct the 3D shape of the object by tracing rays from the object’s shadow pixels to the light source location. The result of this technique shows a significant accuracy improvement from the area-projection method. A virtual slice representing the cross-section of an object is reconstructed using a cubic spline approximation from baseline points derived from the boundary pixels of the object image and a shadow casting method. The volume estimation was calculated by restricted integration using the Riemann sum estimation algorithm, and the closed area of the virtual slices was calculated using the shoestring algorithm. Mangoes were used as a case study of the RayVol framework. The volume estimation provides the correlation coefficient of 0.9849 between the developed system and the water replacement method.
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    The Influence of Measuring Location on Volume Estimation by Shadow Casting Method
    (2024-01-01)
    Suesut, Taweepol
    ;
    Sukprasertchai, Siwakorn
    Non-contact inspection has dominated various industries for many years, particularly in the field of food and agricultural processes. Volume estimation can be achieved by volumetric imagery or 3D reconstruction. The casting of shadows or shape by shading is an active technique that can be utilized to generate volumetric imagery. By evaluating the length of shadows, the object height data can be achieved, and the transformation of image coordinates to world coordinates is facilitated by means of homography transformation. The width, length, and height of object edges along the entirety of its length are employed to reconstruct virtual slices. The integration of these virtual slices enables the estimation of the object's volume. This research studied the variation of the measuring locations, three different diameters spherical balls 38mm, 50mm, and 80mm are used as test materials. The percentage of errors in volume obtained from all sections by shadow casting were compared to computation volume of sphere formula is approximately -1.6 %, -1.13 %, and - 6.60%, respectively, depending on the size of the object. Furthermore, a visualization-based analysis is presented which has no significant difference. From this studied, it can be concluded that this method is valuable in estimating the volume of axially symmetrical objects.