• 제목/요약/키워드: Image Intensity

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국부 영역의 명도와 색상 히스토그램 유사도를 이용한 인체 추적 (Efficient Human body tracking Using Similarity Of Histogram Of Intensity and Hue Local Area)

  • 곽내정;송특섭
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.149-152
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    • 2016
  • 본 논문에서는 한 대의 고정카메라로 입력되는 영상에서 인체를 추적하는 알고리즘을 제안한다. 제안방법은 입력영상과 배경영상의 회색조 영상과 색상 영상의 차영상을 구한 후 그 결과를 결합하여 배경과 전경을 분리하고 객체를 추출한다. 각 객체영역은 객체별로 식별 번호가 부여되고 추적된다. 객체에 겹침 또는 가림이 발생할 경우 객체의 국부영역의 명도와 색상의 히스토그램을 구하여 객체를 추적한다. 제안방법을 카메라로 입력되는 비디오영상에 적용한 결과 객체의 가림 및 겹침이 발생했을 때도 객체를 잘 추적하였다.

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Analysis of Image Distortion on Magnetic Resonance Diffusion Weighted Imaging

  • Cho, Ah Rang;Lee, Hae Kag;Yoo, Heung Joon;Park, Cheol-Soo
    • Journal of Magnetics
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    • 제20권4호
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    • pp.381-386
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    • 2015
  • The purpose of this study is to improve diagnostic efficiency of clinical study by setting up guidelines for more precise examination with a comparative analysis of signal intensity and image distortion depending on the location of X axial of object when performing magnetic resonance diffusion weighted imaging (MR DWI) examination. We arranged the self-produced phantom with a 45 mm of interval from the core of 44 regent bottles that have a 16 mm of external diameter and 55 mm of height, and were placed in 4 rows and 11 columns in an acrylic box. We also filled up water and margarine to portrait the fat. We used 3T Skyra and 18 Channel Body array coil. We also obtained the coronal image with the direction of RL (right to left) by using scan slice thinkness 3 mm, slice gap: 0mm, field of view (FOV): $450{\times}450mm^2$, repetition time (TR): 5000 ms, echo time (TE): 73/118 ms, Matrix: $126{\times}126$, slice number: 15, scan time: 9 min 45sec, number of excitations (NEX): 3, phase encoding as a diffusion-weighted imaging parameter. In order to scan, we set b-value to $0s/mm^2$, $400s/mm^2$, and $1,400s/mm^2$, and obtained T2 fat saturation image. Then we did a comparative analysis on the differences between image distortion and signal intensity depending on the location of X axial based on iso-center of patient's table. We used "Image J" as a comparative analysis programme, and used SPSS v18.0 as a statistic programme. There was not much difference between image distortion and signal intensity on fat and water from T2 fat saturation image. But, the average value depends on the location of X axial was statistically significant (p < 0.05). From DWI image, when b-value was 0 and 400, there was no significant difference up to $2^{nd}$ columns right to left from the core of patient's table, however, there was a decline in signal intensity and image distortion from the $3^{rd}$ columns and they started to decrease rapidly at the $4^{th}$ columns. When b-value was 1,400, there was not much difference between the $1^{st}$ row right to left from the core of patient's table, however, image distortion started to appear from the $2^{nd}$ columns with no change in signal intensity, the signal was getting decreased from the $3^{rd}$ columns, and both signal intensity and image distortion started to get decreased rapidly. At this moment, the reagent bottles from outside out of 11 reagent bottles were not verified from the image, and only 9 reagent bottles were verified. However, it was not possible to verify anything from the $5^{th}$ columns. But, the average value depends on the location of X axial was statistically significant. On T2 FS image, there was a significant decline in image distortion and signal intensity over 180mm from the core of patient's table. On diffusion-weighted image, there was a significant decline in image distortion and signal intensity over 90 mm, and they became unverifiable over 180 mm. Therefore, we should make an image that has a diagnostic value from examinations that are hard to locate patient's position.

A Study on the Optimized Test Condition of Lock-in IR Thermography by Image Processing

  • Cho, Yong-Jin
    • 비파괴검사학회지
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    • 제32권3호
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    • pp.276-283
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    • 2012
  • In this study, it was studies the utilization of LIT(lock-in infrared thermography) which can detect defects in welded parts of ship and offshore structures. Quantitative analysis was used through methods of filtering and texture measurement of image processing techniques to find the optimized experimental condition. We verified reliability in our methods by applying image processing techniques in order to normalize evaluations of comparative images that show phase difference. In addition, low to mid exposure showed good results whereas high exposure did not provide significant results in regards to intensity of light exposure on surface. Lock-in frequency was satisfactory around 0.1 Hz regardless of intensity of light source we had. In addition, having the integration time of thermography camera inversely proportional to intensity of exposed light source during the experiment allowed good outcome of results.

Phase Contrast Projection Display Using Photopolymer

  • Piao, Mei-Lan;Kim, Nam;Park, Jae-Hyeung
    • Journal of the Optical Society of Korea
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    • 제12권4호
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    • pp.319-325
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    • 2008
  • We propose a phase contrast filter using photopolymer, for the phase contrast projection display. The photopolymer has high photosensitivity such that its optically induced refractive index change has a linear dependency on the illuminating light intensity. We implemented a phase contrast projection display using photopolymer as a phase contrast filter. By controlling the refractive index change of the photopolymer, we successfully convert an input phase image into a high contrast intensity image. We also investigated the effect of the photopolymer illumination condition on the quality of the displayed intensity image. As a projector, we achieved 82% phase to intensity conversion efficiency, which implies that the proposed method can potentially have much higher light efficiency than conventional projection display.

Deep Learning Machine Vision System with High Object Recognition Rate using Multiple-Exposure Image Sensing Method

  • Park, Min-Jun;Kim, Hyeon-June
    • 센서학회지
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    • 제30권2호
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    • pp.76-81
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    • 2021
  • In this study, we propose a machine vision system with a high object recognition rate. By utilizing a multiple-exposure image sensing technique, the proposed deep learning-based machine vision system can cover a wide light intensity range without further learning processes on the various light intensity range. If the proposed machine vision system fails to recognize object features, the system operates in a multiple-exposure sensing mode and detects the target object that is blocked in the near dark or bright region. Furthermore, short- and long-exposure images from the multiple-exposure sensing mode are synthesized to obtain accurate object feature information. That results in the generation of a wide dynamic range of image information. Even with the object recognition resources for the deep learning process with a light intensity range of only 23 dB, the prototype machine vision system with the multiple-exposure imaging method demonstrated an object recognition performance with a light intensity range of up to 96 dB.

Magnetic Resonance Imaging and Pathologic Correlation of Cerebral Fat Embolism using Oleic Acid

  • Park, Byung-Rae
    • 대한의생명과학회지
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    • 제10권2호
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    • pp.115-120
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    • 2004
  • To investigate the correlation between the magnetic resonance imaging (MRI) of cerebral fat embolism that is induced by injecting oleic acid into 10 cats, and a pathologic diagnosis. Using a microcatheter, 30 ${mu}ell$ of oleic acid was injected into the internal carotid artery of 10 cats. MR T2-weighted image (T2WI), diffusion-weighted image (DWI) and Gadolinium-enhanced T1-weighted image (Gd-enhanced T1WI) were obtained after 30 minutes and 2 hours of embolization. After 30 minutes of the embolization, lesions of very high signal intensity were detected by T2WI in 6 cats, and of slightly high signal intensity in 2 cats; in the remaining 2 cats, signal intensity was normal. DWI showed lesions of very high intensity in 9 cats and of slightly high intensity in one cat. According to the findings of light microscopic examination, infarcted lesions mainly involved the gray matter, but also some white matter. A magnetic resonance imaging diagnosis for cerebral fat embolism that was induced by oleic acid through the internal carotid artery in cats showed high signal intensity on the T2WI and the DWI within an initial 2 hours, and with a well enhancement on the Gd-enhanced T1WI. Considering cellular edema, cerebrovascular injury and extracellular space widening, we assumed pathologically that cytotoxic and vasogenic edema exists at the same time.

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변분법을 이용한 명암도 변환 함수 획득 방법 (A Method of Deriving an Intensity Mapping Function by Using The Variational Technique)

  • 김준형;노창균;고성제
    • 대한전자공학회논문지SP
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    • 제48권5호
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    • pp.10-15
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    • 2011
  • 히스토그램 평활화 방법은 영상의 대조비를 개선시키는 효과적인 방법이다. 하지만 이 방법은 과도한 대조비 향상이나 잡음을 증폭시키는 것과 같은 의도하지 않은 결함을 발생시킬 수 있다. 이러한 결함은 히스토그램 평활화 방법에서 사용되는 명암도 변환 함수를 조절함으로써 감소시킬 수 있다. 본 논문에서는 명암도 변환 함수를 조절하는 문제를 변분법을 사용하여 접근하였다. 이를 위하여 범함수를 정의하고 그 범함수를 최소화하여 명암도 변환 함수를 계산한다. 제안하는 방법을 적용하여 얻은 명암도 변환 함수를 사용하면 눈에 보이는 결함 없이 영상의 대조비를 개선시킬 수 있음을 실험결과로부터 확인할 수 있다.

명암도 분포 및 형태 분석을 이용한 효과적인 TFT-LCD 필름 결함 영상 분류 기법 (An effective classification method for TFT-LCD film defect images using intensity distribution and shape analysis)

  • 노충호;이석룡;조문신
    • 한국멀티미디어학회논문지
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    • 제13권8호
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    • pp.1115-1127
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    • 2010
  • TFT-LCD 생산 과정에서 발생하는 결함을 정확하게 분류하여 결함 유형에 따라 폐기, 사용가능 등의 의사결정을 적절하게 내리는 것은 수율 증가 및 생산성 향상에 필수적인 요소이다. 본 논문에서는 TFT-LCD 생산 라인에서 획득한 결함 영상에 대하여 명암도 분포(intensity distribution) 및 결함 영상의 형태 특징(shape feature)을 분석하여 효과적으로 필름 결함 유형을 분류하는 기법을 제시한다. 본 연구에서는 먼저 필름 결함 영상을 결함 영역과 결함이 아닌 배경 영역으로 이진화하고, 결함 영역에서 결함의 선형성(linearity), 명암도 분포를 고려한 형태 특징 등의 여러 가지 특징을 분석하여 기준 영상(referential image) 데이터베이스를 구축하였으며, 분류하고자 하는 결함 영상과 데이터베이스에 저장된 기준 영상과의 매칭 비용 함수(matching cost function)를 정의하여 적절히 매칭시킴으로써 결함의 유형을 결정하였다. 제시한 기법의 성능을 검증하기 위하여 실제 TFT-LCD 생산 라인에서 획득한 결함 영상들을 대상으로 분류 실험을 수행하였으며, 실험 결과 생산 라인에서 이용할 수 있을 정도의 상당한 수준의 분류 정확도를 달성하였음을 보여주었다.

마이크로 4.7T MRI SE Sequence에서 T2강조효과를 위한 최적의 Flip Angle (Optimal Flip Angle for T2-Weighted Effect in Micro 4.7T MRI SE Sequence)

  • 이상호
    • 대한방사선기술학회지:방사선기술과학
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    • 제42권2호
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    • pp.113-117
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    • 2019
  • The purpose of this study was to investigate the FA value which can produce the best T2-weighted images by measuring the signal intensity and noise according to the FA value change in the brain image and the abdominal image of the mouse using micro-MRI. Brain imaging and abdominal imaging of BALB / C mice weighing 20g were performed using 4.7T (Bruker BioSpin MRI GmbH) micro-MRI equipment, Turbo RARE-T2 (spin echo-T2) images were scanned at TR 3500 msec and TE 36 msec. The changes of the FA values were $60^{\circ}$, $80^{\circ}$, $100^{\circ}$, $120^{\circ}$, $140^{\circ}$, $160^{\circ}$ and $180^{\circ}$. We measured signal intensity according to FA values of ventricle and thalamus in brain imaging, The signal intensity of kidney and muscle around the kidney was measured in abdominal images. To obtain SNR and CNR, we measured the background signals of two different parts, not the tissue. In the brain (thalamus) image, the signal intensity of FA $100^{\circ}$ was 7,433 and SNR (6.49) was the highest. In the abdominal (kidney) image, the signal intensity was highest at 16,523 when FA was $120^{\circ}$, and the highest SNR was 8.54 when FA was $140^{\circ}$. The CNR value of the brain image was 1.38 at FA $60^{\circ}$ and gradually increased to 8.29 at FA $180^{\circ}$. The CNR value of the muscle adjacent to the kidney gradually increased from 2.36 when the FA value was $60^{\circ}$ and the highest value was 4,57 at the FA value $180^{\circ}$.

SCM415강을 이용한 경도가공 특성 (Hardness Machining Characteristics using the SCM415 Still)

  • 신미정;김인수;김진수;김정화;김명규
    • 한국기계가공학회지
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    • 제16권2호
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    • pp.44-49
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    • 2017
  • In this study, the cutting conditions of moving speed, number of main axial revolutions, etc. are changed for the chrome molybdenum steel (SCM415) material and carbide ball end mill tool to study the changes for processing intensity in the cutting process. The results that confirm the intensity of the measured value of the specimen for SCM415 display the intensity with an average 1.0667 HrC. After the fact cutter, it was able to confirm the average intensity of 8.3815 HrC. In addition, the intensity value after image processing may determine the average intensity survey value of 5.8690 HrC and the different intensity values with image processing after face cutting are shown for an average of ${\pm}2.5125HrC$. The different value of intensity with the specimen and image processing is confirmed for an average of 4.8024 HrC. The results of comparing the intensity following the number of main axial revolutions and moving speed show that the intensity is highest for 3,000 rpm and F200, and lowest for 4,000 rpm and F200.