O-ring Size Measurement Based on a Small Machine Vision Inspection Equipment

Jung, YouSoo; Park, Kil−Houm

doi:10.9723/jksiis.2014.19.4.041

Cited by 1 publication

(4 citation statements)

References 6 publications

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“…The curvature value is calculated from the horizontal line profile in the ROI of the gray image. The first order and the second order derivatives of the gray value profile at the given reference position for the given pixel are expressed as Equations (5) and (6). Where P(n) is the gray level of the n-th position where P (n) is the first derivative, which represents the variation of the gray level, and w is the increment along the x axis and P (n) is the second order derivative of P(n):…”

Section: Image Binarizationmentioning

confidence: 99%

“…For this reason, the development of an automation inspection system, which is based upon the machine vision system, is actively underway [3,4]. The machine vision system acquires images using a camera and then quantitatively judges [5] the degree of abrasion and warping/breakage of the cutting blade. In order to improve the productivity and reliability, machine vision inspection equipment is commonly used in actual practice.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, the machine vision has been actively deployed in research for the development of measurement systems for different applications. Measurement of the dimensions of an O-ring [5], detecting defects in a thin film transistor liquid crystal display (TFT-LCD) [6], measurement of the refractory bricks [7], and measuring the size of an automobile break pad [8] are the few areas benefited by the machine vision.…”

Section: Introductionmentioning

confidence: 99%

“…In general, various methods, like brightness information, shape information, pattern information, etc., are used for object recognition in the field of image processing. Among these methods of object detection, template matching and feature point detection are the techniques which have gained more attraction [5]. However, template matching detects an object by determining the similarity of the image with a reference image that is not adaptive to the change of the reference image, which consequently deteriorates the results.…”

Section: Introductionmentioning

confidence: 99%

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Cutting Blade Measurement of an Ultrasonic Cutting Machine Using Multi-Step Detection

et al. 2019

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An algorithm for measurement of the cutting blade of the ultrasonic vibration cutting machine used in an automation machine is proposed in this paper. The proposed algorithm, which is based upon a multi-step detection method, is developed for the accurate measurement of the cutting blade by exactly determining its rotation angle, length, and thickness. Instead of the commonly used Otsu method, we propose a new curvature-based adaptive binarization method, which provides more accurate details about the dimensions of the cutting blade. A region of interest containing the cutting blade from the acquired image is first extracted in the multi-step detection method, which is further processed to remove the noise, which increases the measurement reliability. An important feature of the proposed process is the restoration of the cutting blade’s tip data, which used to be lost during the fine noise-filtering process. The rotation angle and length are measured using the minimum rotated rectangle while the line fitting based upon the least square method is applied to increase the reliability of the thickness measurement. Experimental results validate the superiority of the proposed method over the conventional Otsu method.

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Section: Image Binarizationmentioning

confidence: 99%