• Smart Structures and Systems
• /
• 제23권2호
• /
• pp.195-205
• /
• 2019

An accurate non-model-based method for delamination identification of laminated composite plates is proposed in this work. A weighted mode shape damage index is formulated using squared weighted difference between a measured mode shape of a composite plate with delamination and one from a polynomial that fits the measured mode shape of the composite plate with a proper order. Weighted mode shape damage indices associated with at least two measured mode shapes of the same mode are synthesized to formulate a synthetic mode shape damage index to exclude some false positive identification results due to measurement noise and error. An auxiliary mode shape damage index is proposed to further assist delamination identification, by which some false negative identification results can be excluded and edges of a delamination area can be accurately and completely identified. Both numerical and experimental examples are presented to investigate effectiveness of the proposed method, and it is shown that edges of a delamination area in composite plates can be accurately and completely identified when measured mode shapes are contaminated by measurement noise and error. In the experimental example, identification results of a composite plate with delamination from the proposed method are validated by its C-scan image.

• 한국멀티미디어학회논문지
• /
• 제13권3호
• /
• pp.378-391
• /
• 2010

본 논문에서는 손가락 면의 영상으로 개인 식별이 가능한지를 실험하고 그 결과를 제시하였다. 이를 위하여 구배치(gradient)를 산출할 수 있는 오퍼레이터인 FFG 마스크(Facet Function Gradient mask)를 사용하고, F-알고리즘이라 명명한 새로운 방법으로 매칭 처리를 하였다. 이 알고리즘에서 손가락 면의 영상을 일정한 크기의 부영역(subregion)으로 나누고, 부영역은 다시 일정한 크기의 패치(patch)들로 나눈다. 각 패치에 같은 크기의 FFG 마스크들을 컨벌루션시키고, 마스크 별로 하나의 수치를 얻는다. 이들 수치를 특징매트릭스(feature matrix)로 삼고, norm에 의하여 동일인 여부를 판정한다. 두 개의 손 영상이 동일인의 것인 경우와 그렇지 않은 경우에 FFG 컨벌루션 수치 차 제곱 총화의 분포를 관찰한 결과 뚜렷한 차별성을 보였다. 이것은 손가락 면 영상의 식별 능력을 입증하는 결과이다. 100명의 손 영상을 5벌씩 촬영한 500장의 영상을 F-알고리즘에 의하여 실험한 결과 95.0%의 개인 식별률을 얻었다. 이러한 식별 능력과 식별률에 비추어 손가락 면(finger face)은 다른 biometric들과 대등한 수준으로 개인 식별을 위한 biometrics의 하나로 손색이 없음을 말할 수 있다

• 대한원격탐사학회지
• /
• 제24권2호
• /
• pp.117-124
• /
• 2008

지형지물은 각각의 특징적 요인을 내포하고 있다. 이 특징적 요인들은, 공간해상도에 따라 정도의 차이가 있겠지만, 수집된 위성영상에도 반영된다. 이러한 요인들 중에서는 영상분류에 활용될 경우 영상 분류의 정확도를 높혀주고, 때로는 이것이 거의 물체인식의 수준까지 기여할 수 있는 것들이 있다. 이 연구에서는 텍스춰 및 지형지물의 배열에 있어서 특징적 현상을 보이는 비닐하우스를 대상으로 spatial auto-corelation 개념을 기반으로 자동적으로 이를 인지하는 방법을 개발하였다. 사용된 알고리즘은 디지타이징과 같은 사람의 직접적인 개입이 없이 자동화된 방법으로 비닐하우스의 특정한 패턴이 반복적으로 나타나는 것을 감지할 수 있도록 개발되었다. 패틴의 인식에 더하여 비닐하우스의 기하학적 모양을 고려하는 방법도 도입하였다. 그럼으로써 비닐하우스의 추출에 단순히 화소 단위의 분석이 아닌 보다 객체지향적인 방법으로 비닐하우스를 추출하도록 하였다. 개발된 방법을 제주지역의 IKONOS에 적용시켜 본 결과 연구대상지역내의 비닐하우스가 매우 정확하게 적출되었다.

• 대한임베디드공학회논문지
• /
• 제12권6호
• /
• pp.395-403
• /
• 2017

Image processing for object detection and identification has been studied for supply chain management application with various approaches. Among them, feature pointed detection algorithm is used to track an object or to recognize a position in automated supply chain systems and a depth image based feature point detection is recently highlighted in the application. The result of feature point detection is easily influenced by image noise. Also, the depth image has noise itself and it also affects to the accuracy of the detection results. In order to solve these problems, we propose a novel hybrid filtering mechanism for depth image based feature point detection, it shows better performance compared with conventional hybrid filtering mechanism.

• 한국의류학회지
• /
• 제44권3호
• /
• pp.400-412
• /
• 2020

The "genderless fashion" style adopted by 20 to 30-year-olds in Korea cannot be ignored in the consumer fashion code. This study investigated self-images of Korean genderless fashion consumers through in-depth interviews. Interview analyses confirmed that Korean genderless fashion consumers express their self-image through clothing. As the theoretical framework, this study used Lacan's concept of desire to classify the types of self-image consumers want to express. The results are classified into three subject types: those who pursue self-fulfillment, those who pursue fulfillment from others, and those who pursue endless fulfillment through a self-image. This reflects various factors and the subjects' desires. Further, a subject's desire to present a specific self-image was an important factor in understanding the genderless fashion style. The study results revealed that modern fashion is an "unconscious" field of self-expression that crucially reflects individual desires. The study also contributes to the understanding of the concept of self-image at large.

• 한국멀티미디어학회논문지
• /
• 제19권11호
• /
• pp.1837-1851
• /
• 2016

Newspaper reader mobile applications using text-to-speech (TTS) function enable blind people to read newspaper contents. But, tables cannot be easily read by the reader program because most of the tables are stored as images in the contents. Even though we try to use OCR (Optical character reader) programs to recognize letters from the table images, it cannot be simply applied to the table reading function because the table structure is unknown to the readers. Therefore, identification of exact location of each table cell that contains the text of the table is required beforehand. In this paper, we propose an efficient image processing algorithm to recognize all the cells in tables by identifying columns and rows in table images. From the cell location data provided by the table column and row identification algorithm, we can generate table structure information and table reading scenarios. Our experimental results with table images found commonly in newspapers show that our cell identification approach has 100% accuracy for simple black and white table images and about 99.7% accuracy for colored and complicated tables.

• Journal of Biosystems Engineering
• /
• 제28권2호
• /
• pp.157-166
• /
• 2003

The purpose of this study is to characterize the internal physical properties of fresh Korean ginsengs (Panax ginseng C.A. Meyer) through a magnetic resonance imaging (MRI) technique. Current external visual inspection cannot determine internal quality of ginsengs successfully. Relaxation time constants, T$_1$ and T$_2$*, were obtained from a series of MR images. Calculated Ti values were varied with different physiological states of ginseng tissues. Internal imaging information was obtained nondestructively from fresh ginsengs. One- and two-dimensional image analyses were performed. One-dimensional image analysis showed a potential of age identification of ginsengs rapidly. Internal quality of normal and abnormal ginsengs was evaluated using two-dimensional MR images. Various types of internal defects such as internal cavity and rotten spot were visualized clearly. The MRI technique had a feasibility to detect internal defects of fresh ginsengs effectively.

• 한국군사과학기술학회지
• /
• 제21권2호
• /
• pp.133-140
• /
• 2018

In electronic warfare(EW), low probability of intercept(LPI) radar signal is a survival technique. Accordingly, identification techniques of the LPI radar waveform have became significant recently. In this paper, classification and extracting parameters techniques for 7 intrapulse modulated radar signals are introduced. We propose a technique of classifying intrapulse modulated radar signals using Convolutional Neural Network(CNN). The time-frequency image(TFI) obtained from Choi-William Distribution(CWD) is used as the input of CNN without extracting the extra feature of each intrapulse modulated radar signals. In addition a method to extract the intrapulse radar modulation parameters using binary image processing is introduced. We demonstrate the performance of the proposed intrapulse radar waveform identification system. Simulation results show that the classification system achieves a overall correct classification success rate of 90 % or better at SNR = -6 dB and the parameter extraction system has an overall error of less than 10 % at SNR of less than -4 dB.

• Journal of information and communication convergence engineering
• /
• 제11권1호
• /
• pp.62-68
• /
• 2013

This paper proposes a method for identification of harmful video images based on the degree of harmfulness in the video content. To extract harmful candidate frames from the video effectively, we used a video color extraction method applying a projection map. The procedure for identifying the harmful video has five steps, first, extract the I-frames from the video and map them onto projection map. Next, calculate the similarity and select the potentially harmful, then identify the harmful images by comparing the similarity measurement value. The method estimates similarity between the extracted frames and normative images using the critical value of the projection map. Based on our experimental test, we propose how the harmful candidate frames are extracted and compared with normative images. The various experimental data proved that the image identification method based on the 2-dimensional projection map is superior to using the color histogram technique in harmful image detection performance.

• 한국가시화정보학회지
• /
• 제17권2호
• /
• pp.48-57
• /
• 2019

A straightforward strategy for particle image velocimetry (PIV) interrogation and post-processing has been proposed, aiming at reducing errors and clarifying vortex structures. The interrogation window size should be kept small to reduce bias error and improve spatial resolution. A spatial filter is then applied to the velocity field to reduce random error and clarify flow structure. The performance of three popular spatial filters were assessed: box filter, median filter, and local quadratic polynomial regression filter. In order to quantify random uncertainty, the image matching (IM) method is applied to an experimental dataset of homogeneous and isotropic turbulence (HIT) obtained by 2D-PIV. We statistically analyze the uncertainty propagation through the spatial filters, and verify the reduction in random uncertainty. Moreover, we illustrate that the spatial filters help clarify vortex structures using vortex identification criteria. As a result, PIV random uncertainty was reduced and the vortex structures became clearer by spatial filtering.