• 제목/요약/키워드: Radon Transformation

검색결과 9건 처리시간 0.028초

3D CAD 모델을 이용한 이차 전지의 형상 결함 검출 (Geometrical Defect Detection of Secondary Battery Using 3-Dimensional CAD Model)

  • 조영호;류근호;이상열
    • Journal of Information Technology Applications and Management
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    • 제29권6호
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    • pp.135-144
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    • 2022
  • In this study, we transformed 4680 type lithium-ion batteries to 3-dimensional CAD models and present a methodology to detect defects using Radon inverse transformation. Transparency was applied to the model to make it look like a CT image when viewed from the front. One normal and three defect models were created and analyzed. The models were saved as image files while rotating at a certain angle. Then, we used the Radon inverse transformation to reconstruct the original 3D geometry from the image files. Finally, we successfully found defects in the defect models for three cases.

Radon 변환을 이용한 주기적인 워터마크 패턴의 동기 복원 방법 (Robust Synchronization Recovery of a Periodic Watermark Using Radon Transform)

  • 서진수;유창동
    • 대한전자공학회논문지SP
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    • 제40권1호
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    • pp.124-129
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    • 2003
  • 주기적인 워터마크 패턴에 적용할 수 있는 새로운 워터마크의 동기 복원 방법이 제안되었다. 주기적인 워터마크 패턴을 이용해서 워터마크의 동기를 찾는 방법은 널리 알려져 있지만, 직접적으로 동기 복원을 위한 파라미터를 추정하지 않고 대부분이 피크를 검출하는 과정에 의지하고 있어 그 성능에 있어 한계가 있었다. 제안된 동기 복원을 위한 파라미터 추정 방법은 Radon 변환을 이용하여 손실 압축이나 의도적으로 동기 복원을 방해하려는 공격 하에서도 동기를 복원하는 능력이 탁월한 성능을 보였다.

Segmentation and Recognition of Korean Vehicle License Plate Characters Based on the Global Threshold Method and the Cross-Correlation Matching Algorithm

  • Sarker, Md. Mostafa Kamal;Song, Moon Kyou
    • Journal of Information Processing Systems
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    • 제12권4호
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    • pp.661-680
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    • 2016
  • The vehicle license plate recognition (VLPR) system analyzes and monitors the speed of vehicles, theft of vehicles, the violation of traffic rules, illegal parking, etc., on the motorway. The VLPR consists of three major parts: license plate detection (LPD), license plate character segmentation (LPCS), and license plate character recognition (LPCR). This paper presents an efficient method for the LPCS and LPCR of Korean vehicle license plates (LPs). LP tilt adjustment is a very important process in LPCS. Radon transformation is used to correct the tilt adjustment of LP. The global threshold segmentation method is used for segmented LP characters from two different types of Korean LPs, which are a single row LP (SRLP) and double row LP (DRLP). The cross-correlation matching method is used for LPCR. Our experimental results show that the proposed methods for LPCS and LPCR can be easily implemented, and they achieved 99.35% and 99.85% segmentation and recognition accuracy rates, respectively for Korean LPs.

Radon RBF Network에 의해 그린 보증 함수의 근사화 (Approximation of Green Warranty Function by Radon Radial Basis Function Network)

  • 이상현;임종한;문경일
    • 한국인터넷방송통신학회논문지
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    • 제12권3호
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    • pp.123-131
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    • 2012
  • 오래 전부터 연료의 가격은 상승하고 있다. 제조업체는 보증을 통해 실용적인 대안을 찾고자 전기와 강력한 바이오 연료를 이용하여 차량의 성장가능을 연구하고 있다. 이제, 이러한 녹색 환경(emission) 관련된 보증은 보증기간이 확장되며, 이러한 보증을 "수퍼 보증" 이라 불린다. 본 논문의 주요 결과는 라돈 변환의 역행렬을 보증공간의 수치를 줄이기 위해 사용되며, 응용 프로그램 및 RBF 네트워크를 사용하여 대략적인 이변량의 보증 기능에 새로운 방법을 제시한다. 이 방법은 다음과 같은 단계로 구성되어 있다. 첫째, 라돈 변환을 이용하여, 이변량 보증 함수의 1차원 함수를 줄일 수 있다. 둘째, 1 차원 함수의 각 신경 서브 네트워크와 신경 네트워크 기법을 사용하여 근사할 수 있다. 셋째, 이러한 신경 sub-networks 형태로 최종 근사 신경망 함께 결합 된다. 넷째, 라 돈 변환의 역함수 값을 사용 하여 최종 근사 신경 네트워크에 우리가 주어진 함수 근사화를 얻을 수 있다. 또한, 우리는 자동차 회사의 일부 그린 보증 데이터를 가지고 위의 방법을 적용한다.

ASCENT AND DESCENT OF COMPOSITION OPERATORS ON LORENTZ SPACES

  • Bajaj, Daljeet Singh;Datt, Gopal
    • 대한수학회논문집
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    • 제37권1호
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    • pp.195-205
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    • 2022
  • In this paper, we provide various characterizations for the composition operator on Lorentz spaces L(p, q), 1 < p ≤ ∞, 1 ≤ q ≤ ∞ to have finite ascent (descent) in terms of its inducing measurable transformation. At the end, in order to demonstrate our outcomes, some examples are given.

RGB 컬러정보를 이용한 침 인식에 관한 연구 (A Study on Needle Detection by using RGB Color Information)

  • 한수환;장경식
    • 한국멀티미디어학회논문지
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    • 제18권10호
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    • pp.1216-1224
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    • 2015
  • In this paper, a detection algorithm for the removal of needle in oriental clinic is presented. First, in the proposed method, the candidate areas of each needle penetrated are selected by using the RGB color information of needle head, and the false candidates are removed by considering their area size. Next, two main edges of the needle are extracted through using the edges of selected candidate areas and their radon transformation. The final verification of penetrated needle is accomplished by using the morphological analysis of these two edge lines. In the experiments, the detection rate of proposed method reaches to 99% for the 36 images containing 294 needles.

MPEG-7 Homogeneous Texture Descriptor

  • Ro, Yong-Man;Kim, Mun-Churl;Kang, Ho-Kyung;Manjunath, B.S.;Kim, Jin-Woong
    • ETRI Journal
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    • 제23권2호
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    • pp.41-51
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    • 2001
  • MPEG-7 standardization work has started with the aims of providing fundamental tools for describing multimedia contents. MPEG-7 defines the syntax and semantics of descriptors and description schemes so that they may be used as fundamental tools for multimedia content description. In this paper, we introduce a texture based image description and retrieval method, which is adopted as the homogeneous texture descriptor in the visual part of the MPEG-7 final committee draft. The current MPEG-7 homogeneous texture descriptor consists of the mean, the standard deviation value of an image, energy, and energy deviation values of Fourier transform of the image. These are extracted from partitioned frequency channels based on the human visual system (HVS). For reliable extraction of the texture descriptor, Radon transformation is employed. This is suitable for HVS behavior. We also introduce various matching methods; for example, intensity-invariant, rotation-invariant and/or scale-invariant matching. This technique retrieves relevant texture images when the user gives a querying texture image. In order to show the promising performance of the texture descriptor, we take the experimental results with the MPEG-7 test sets. Experimental results show that the MPEG-7 texture descriptor gives an efficient and effective retrieval rate. Furthermore, it gives fast feature extraction time for constructing the texture descriptor.

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카메라와 라이다 센서 융합에 기반한 개선된 주차 공간 검출 시스템 (Parking Space Detection based on Camera and LIDAR Sensor Fusion)

  • 박규진;임규범;김민성;박재흥
    • 로봇학회논문지
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    • 제14권3호
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    • pp.170-178
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    • 2019
  • This paper proposes a parking space detection method for autonomous parking by using the Around View Monitor (AVM) image and Light Detection and Ranging (LIDAR) sensor fusion. This method consists of removing obstacles except for the parking line, detecting the parking line, and template matching method to detect the parking space location information in the parking lot. In order to remove the obstacles, we correct and converge LIDAR information considering the distortion phenomenon in AVM image. Based on the assumption that the obstacles are removed, the line filter that reflects the thickness of the parking line and the improved radon transformation are applied to detect the parking line clearly. The parking space location information is detected by applying template matching with the modified parking space template and the detected parking lines are used to return location information of parking space. Finally, we propose a novel parking space detection system that returns relative distance and relative angle from the current vehicle to the parking space.