• Title/Summary/Keyword: Seam lines

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The Study on an Advanced Algorithm for Auto-generation of MOSAIC Seam Lines

  • Park, Young-Hoon;Kim, Jin-Kwang;Kang, Young-Ku
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.464-466
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    • 2003
  • In this paper an advanced algorithm for selecting a seam line automatically, which used to be selected by human operator for mosaicked images is presented. In addition to four factors proposed by automation theory, the FOM(Figure Of Merit) of tie point were taken into account to suggest the method to select a seam line applicatively and the algorithm was applied to mosaic test images.

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A Study on the Image Processing of Visual Sensor for Weld Seam Tracking in GMA Welding (GMA 용접에서 용접선 추적용 시각센서의 화상처리에 관한 연구)

  • 정규철;김재웅
    • Journal of Welding and Joining
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    • v.18 no.3
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    • pp.60-67
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    • 2000
  • In this study, we constructed a preview-sensing visual sensor system for weld seam tracking in GMA welding. The visual sensor consists of a CCD camera, a diode laser system with a cylindrical lens and a band-pass-filter to overcome the degrading of image due to spatters and/or arc light. To obtain weld joint position and edge points accurately from the captured image, we compared Hough transform method with central difference method. As a result, we present Hough transform method can more accurately extract the points and it can be applied to real time weld seam tracking. Image processing is carried out to extract straight lines that express laser stripe. After extracting the lines, weld joint position and edge points is determined by intersecting points of the lines. Although a spatter trace is in the image, it is possible to recognize the position of weld joint. Weld seam tracking was precisely implemented with adopting Hough transform method, and it is possible to track the weld seam in the case of offset angle is in the region of $\pm15^{\circ}$.

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A Study on the Image Processing of Visual Sensor for Weld Seam Tracking in GMA Welding

  • Kim, J.-W.;Chung, K.-C.
    • International Journal of Korean Welding Society
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    • v.1 no.2
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    • pp.23-29
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    • 2001
  • In this study, a preview-sensing visual sensor system is constructed far weld seam tracking in GMA welding. The visual sensor system consists of a CCD camera, a diode laser system with a cylindrical lens, and a band-pass-filter to overcome the degrading of image due to spatters and/or arc light. Among the image processing methods, Hough transform method is compared with the central difference method from a viewpoint of the capability for extracting the accurate feature position. As a result, it was revealed that Hough transform method can more accurately extract the feature positions and it can be applied to real time weld seam tracking. Image processing which includes Hough transform method is carried out to extract straight lines that express laser stripe. After extracting the lines, weld joint position and edge points are determined by intersecting the lines. Even though the image includes a spatter trace on it, it is possible to recognize the position of weld joint. Weld seam tracking was precisely implemented with adopting Hough transform method, and it is possible to track the weld seam in the case of offset angle is in the region of $\pm$ $15^{\circ}$.

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Image Recomposition Using Seam Carving and Insertion Considering the Rule of Thirds

  • Lee, Jon-Ha;Kim, Kyumok;Park, Jinwon;Park, Ji Yeol;Jung, Seung-Won
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.1
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    • pp.1-4
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    • 2016
  • In this paper, we present an algorithm for adjusting the position of a user-specified object considering image aesthetics. Specifically, the user-specified object is positioned according to the rule of thirds by inserting or deleting unimportant seam lines from the image. To find such seam lines, a novel weight map is designed using the spatial and color distances from the object. We also design and analyze two approaches to seam carving and insertion. Experimental results show that the proposed method can be used as an effective semi-automatic image recomposition scheme.

Reduction of Seam Line Using an FIR Filter in Spatially Compounded Ultrasonic Diagnostic Images (공간합성된 초음파 의료영상에서 FIR 필터를 이용한 심라인 감소방법)

  • Choi, Myoung Hwan
    • Journal of Industrial Technology
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    • v.28 no.B
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    • pp.129-133
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    • 2008
  • A method to reduce seam line artifact in spatial compounding of ultrasonic images is presented. Spatial compounding is a speckle reducing imaging technique in which a number of ultrasound images of a given target that have been obtained from multiple view angles are combined into a single compounded image by combining the data received from each data point in the compounded image. Since different view angle results in different view area, and the images of different view arms are combined into an image, the compounded image consists of regions with different signal to noise ratio, and the boundary lines between these regions are visible as seam lines in the compounded images. In this paper, we present an algorithm that reduces the visibility of this seam line in the spatially compounded images. Design procedure for a FIH filter is described and the results of applying the filter to in-vivo ultrasonic images are analyzed.

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A Study on Automatic Seam Tracking using Vision Sensor (비전센서를 이용한 용접선 자동추적에 관한 연구)

  • 조택동;양상민;전진환
    • Journal of Welding and Joining
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    • v.16 no.6
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    • pp.68-76
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    • 1998
  • A CCD camera with a laser stripe was applied to realized the automatic weld seam tracking. The 3-dimensional information obtained from the vision system made it possible to generate the weld torch path. The adaptive Hough transformation was used to extract laser stripes an to obtain specific weld points. It takes relatively long time to process image on-line control using the basic control using the basic Hough transformation, but it has a tendency of robustness over the noises such as spatter. For this reason, it was complemented with adaptive Hough transformation to have an on-line processing ability for scanning specific weld points. The dead zone, where the sensing of weld line is impossible, was eliminated by rotating the camera with its rotating axis centered at the weld torch. When weld lines were detected, the camera angle was controlled in order to get the minimum image data for sensing of weld lines. Consequently, the image processing time was reduced.

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A Study on Development of Automatic Weld-Seam Tracking System using Vision Sensor (시각센서를 이용한 용접선 자동추적시스템의 개발에 관한 연구)

  • 배강열;이지형
    • Journal of Welding and Joining
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    • v.14 no.4
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    • pp.79-88
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    • 1996
  • For improvement in productivity and weld quality, weld seam tracking and welding parameter control are very essential in the welding of a structure which can not be cxactly fit-up due to mismatch, discontinous gap, deflection, etc.. In this study, an automatic weld seam tracking system is developed for I-butt joint structure, and the system consists of XYZ working table, vision sensor and user interface program. In the developed vision sensor system, an image projection algorithm for weld-line detection and an adaptive current control algorithm for gap variation were implemented. The user interface program developed in this study by basing on the objct oriented concept could provide very convenient way to utilize the tracking system with the pull-down menu driven structure. The developed system showed a good seam tracking and weld quality control capability corresponding to deflected weld lines and gap variations.

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A Fast Seam Tracking Algorithm for Laser Welding (레이져 용접을 위한 고속 용접선 추적 알고리즘)

  • 배재욱
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.52-55
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    • 1997
  • This paper discusses an automatic visual-servoing system, in which a laser and a CCD camera are used for imaging the pattern of joint groove. The algorithm used here is simple and robust to find out the gap width and gap center. As a consequence, the speed of algorithm is very fast and optimized. A feature of this system is that it processes only by summing the vertical line and horizontal line of screen without any image preprocessing in order to get the energy information of lines alternatively. It is practical and useful for the system requiring a fast process time of vision.

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Development of a High Speed Rotating Arc Sensor System for Tracking Complicate Curved Fillet Welding Lines

  • Lee, Gun-You;Oh, Myung-Suck;Kim, Sang-Bong
    • International Journal of Precision Engineering and Manufacturing
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    • v.4 no.6
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    • pp.20-28
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    • 2003
  • This paper presents development of a high speed rotating arc sensor system using a microprocessor based controller with tracking function for a complicate curved fillet welding line, The welding tip connected to the torch body is eccentrically positioned from the centerline of the torch, The area during one rotating cycle is divided into 4 regions of front, rear, right and left in welding direction of the torch tip to determine the horizontal deviation between the welding seam and the torch position. The average value at each region is calculated using the regional current values and a low pass filter incorporated with the moving average method is implemented. The effectiveness of the developed system is proven through the experimental results for several kinds of complicate curved fillet welding lines.

Automatic Image Mosaicking

  • Song Nak-hyun;Cho Woosug;Cho Seong-Ik;Yun YoungBo
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.121-124
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    • 2004
  • This paper proposed the method of creating image mosaic in automated fashion. It is well known that geometric and radiometric balance in adjacent images should be maintained in mosaicking process. The seam line to minimize geometric discontinuity was extracted using Minimum Absolute­Gray-Difference Sum considering constraint condition in search width. To maintain the radiometric balance of images acquired at different time, we utilized Match Cumulative Frequency, Match Mean and Standard Deviation and Hue Adjustment algorithm. The mosaicked image prepared by the proposed method was compared with those of commercial software. Experiments show that seam lines were extracted significantly well from roads, rivers. ridgelines etc. and Match Cumulative Frequency algorithm was performed pretty good in histogram matching

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