• Journal of KIISE:Software and Applications
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• v.31 no.7
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• pp.911-921
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• 2004

Accurate minutiae extraction from input fingerprint images is one of the critical modules in robust automatic fingerprint identification system. However, the performance of a minutiae extraction is heavily dependent on the quality of the input fingerprint images. If the preprocessing is performed according to the fingerprint image characteristics in the image enhancement step, the system performance will be more robust. In this paper, we propose a knowledge-based preprocessing method, which extracts S features (the mean and variance of gray values, block directional difference, orientation change level, and ridge-valley thickness ratio) from the fingerprint images and analyzes image quality with Ward's clustering algorithm, and enhances the images with respect to oily/neutral/dry characteristics. Experimental results using NIST DB 4 and Inha University DB show that clustering algorithm distinguishes the image Quality characteristics well. In addition, the performance of the proposed method is assessed using quality index and block directional difference. The results indicate that the proposed method improves both the quality index and block directional difference.

• Journal of the Institute of Electronics and Information Engineers
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• v.53 no.2
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• pp.47-52
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• 2016

The used digital images in the smart device and small displayer has been a downscaled image. In this paper, the detection of the downscaling image forgery is proposed using the feature vector according to the pixel value's gradients. In the proposed algorithm, AR (Autoregressive) coefficients are computed from pixel value's gradients of the image. These coefficients as the feature vectors are used in the learning of a SVM (Support Vector Machine) classification for the downscaling image forgery detector. On the performance of the proposed algorithm, it is excellent at the downscaling 90% image forgery compare to MFR (Median Filter Residual) scheme that had the same 10-Dim. feature vectors and 686-Dim. SPAM (Subtractive Pixel Adjacency Matrix) scheme. In averaging filtering ($3{\times}3$) and median filtering ($3{\times}3$) images, it has a higher detection ratio. Especially, the measured performances of all items in averaging and median filtering ($3{\times}3$), AUC (Area Under Curve) by the sensitivity and 1-specificity is approached to 1. Thus, it is confirmed that the grade evaluation of the proposed algorithm is 'Excellent (A)'.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.1-8
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• 2021

Ultra high-quality and ultra high-resolution omnidirectional 360-degree video streaming is needed to provide immersive media through head-mounted display(HMD) in virtual reality environment, which requires high bandwidth and computational complexity. One of the approaches avoiding these problems is to apply viewport-dependent selective streaming using tile-based segmentation method. This paper presents a performance analysis of viewport-dependent tiled streaming on 16K ultra high-quality 360-degree videos and 4K 360-degree videos which are widely used. Experimental results showed 42.47% of bjotegaard delta rate(BD-rate) saving on 16K ultra high-quality 360-degree video tiled streaming compared to viewport-independent streaming while 4K 360-degree video showed 26.41% of BD-rate saving. Therefore, this paper verified that tiled streaming is more efficient on ultra-high quality video.

• The Korean Journal of Nuclear Medicine
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• v.33 no.6
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• pp.475-483
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• 1999

Purpose: Complete fibrovascular ingrowth within the hydroxyapatite ocular implant is necessary for peg drilling which is performed to Prevent infection and to provide motility to the ocular prosthesis. We compared planar bone scintigraphy and SPECT for the evaluation of the vascularization within hydroxyapatite ocular implants. Materials and Methods: Seventeen patients (M:F: 12:5, mean age; $50.4{\pm}17.5$ years) who had received a coralline hydroxyapatite ocular implant after enucleation surgery were enrolled. Patients underwent Tc-99m MDP planar bone and SPECT imaging by dual head gamma camera after their implant surgery (interval: $197{\pm}81$ days). Uptake on planar and SPECT images was graded visually as less than (grade 1), equal to (grade 2), and greater than (grade 3) nasal bridge activity. Quantitative ratio of implanted to non-implanted intraorbital activity was also measured. Vascularization within hydroxyapatite implants was confirmed by slit lamp examination and ocular movement. Results: All but three patients were considered to be vascularized within hydroxyapatite implants. In visual analysis of planar image and SPECT, grade 1 was noted in 9/18 (50%) and 6/18 (33%), respectively. Grade 2 pattern was 7/18 (39%) and 4/18 (22%), and grade 3 pattern was 2/18 (11%) and 8/18 (44%) respectively. When grade 2 or 3 was considered to be positive for vascularization, the sensitivity of planar and SPECT imaging were 60% (9/15) and 80% (12/15), respectively. In 3 patients with incomplete vascularization, both planar and SPECT showed grade 1 uptake The orbital activity ratios on planar imaging were not significantly different between complete and incomplete vascularization ($1.96{\pm}0.87$ vs $1.17{\pm}0.08$, p>0.05), however, it was significantly higher on SPECT in patients with complete vascularization ($8.44{\pm}5.45$ vs $2.20{\pm}0.87$, p<0.05). Conclusion: In the assessment of fibrovascular ingrowth within ocular implants by Tc-99m MDP bone scintigraphy, SPECT image appears to be more effective than planar scintigraphy.

• Journal of radiological science and technology
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• v.39 no.1
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• pp.51-57
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• 2016

Acoustic noise during magnetic resonance imaging (MRI) is the main source for patient discomfort. we report our preliminary experience with this technique in neuroimaging with regard to subjective and objective noise levels and image quality. 60 patients(29 males, 31 females, average age of 60.1) underwent routine brain MRI with 3.0 Tesla (MAGNETOM Tim Trio; Siemens, Germany) system and 12-channel head coil. Q-$T_2$ and $T_2$ sequence were performed. Measurement of sound pressure levels (SPL) and heart rate on Q-$T_2$ and $T_2$ was performed respectively. Quantitative analysis was carried out by measuring the SNR, CNR, and SIR values of Q-$T_2$, $T_2$ and a statistical analysis was performed using independent sample T-test. Qualitative analysis was evaluated by the eyes for the overall quality image of Q-$T_2$ and $T_2$. A 5-point evaluation scale was used, including excellent(5), good(4), fair(3), poor(2), and unacceptable(1). The average noise and peak noise decreased by $15dB_A$ and $10dB_A$ on $T_2$ and Q-$T_2$ test. Also, the average value of heartbeat rate was lower in Q-$T_2$ for 120 seconds in each test, but there was no statistical significance. The quantitative analysis showed that there was no significant difference between CNR and SIR, and there was a significant difference (p<0.05) as SNR had a lower average value on Q-$T_2$. According to the qualitative analysis, the overall quality image of 59 case $T_2$ and Q-$T_2$ was evaluated as excellent at 5 points, and 1 case was evaluated as good at 4 points due to a motion artifact. Q-$T_2$ is a promising technique for acoustic noise reduction and improved patient comfort.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.3
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• pp.464-469
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• 2002

In this research, nonvisibility and robustness of image watermarking mixed Key and Logo method were evaluated. The role of the Key was performed by a personal ID of a copyrighter and the logo images were used as the watermark. The standard image of Lena was used for experimental image and binary images of `Park'with size 32${\times}$32 and 64${\times}$64 were used for the watermark, respectively In order to evaluate nonvisibility of the proposed watermarking scheme, PSNR(Peak Signal to Noise Ratio) of the watermarked image was obtained and for robustness reconstructive rates of the reconstructed watermark were obtained from the watermarked image with image transformation of JPEG lossy compression. The experimental results show that nonvisibility is excellent as PSNR of the watermarked image is 93.75dB and the reconstructive rates of the case of 322${\times}$32 watermark was better than the case of the 64${\times}$64 watermark; average 5.9%, 13.9%, 6.5%, and 4.2% in the case of scale-down rates, rotational rates, impulse noise power density, and JPEG lossy compression rates, respectively.

• Journal of radiological science and technology
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• v.27 no.4
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• pp.49-54
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• 2004

Purpose : To valuate the usefulness of mammographic image by using phantom 1,2 to controls the enhancement of image quality. Procedure : Set up same equipments for experiment (all the qualification must be the same). Control group and 4 other experiment the developing mammographys by using the image system with film/intensifying screen and distribute marks on each test objects of phantom 1, 2. Result : The results of the experiment using phantom 1, 2 on control group and 4 others are : 1. phantom 1's valuation with 3 items. - control group received 29 out of 32 - group A received 25 - group B received 16 - group C received 11.5 - group D received 28.5 The evaluation shows that the system has proved to display excellent image quality except group B and C. 2. Phantom 2's valuation with 4 items. - control group received 38 out of 38 - group A received 30 - group B received 16 - group C received 12.5 - group D received 38 Even with phantom 2, group B and C has displayed poor image quality. Conclusion : Both experiments using phantom 1 and 2 have shown that the most strong factor that control and influence the image quality are the filming equipments. Especially, the developing system has most powerful influence above all.

• The Academic Congress of Korean Shoulder and Elbow Society
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• 2009.11a
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• pp.29-33
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• 2009

단순촬영에서 견관절을 이루는 골격의 형태를 파악하고 MRI에서는 주로 회전근 개 건의 fraying및 파열, 오훼견봉인대의 견봉 부착부위의 fraying, 점액낭염, 활막염, 관절순의 병변, 연골연화와 같은 연부조직의 병변을 관찰한다. 회전근 개 파열의 고식적 MR 진단은 정확도가 93%, 민감도가 84~100%, 특이도가 88~97%, 지방억제 MR 관절강 조영술은 민감도 및 특이도가 90%및 75%에서 100%까지 최근 보고 되고 있다. 단순촬영검사로 충돌중후군의 일반적인 소견을 파악할 수 있고 impingement series에는 견관절 전후면, suprascapular outlet view (SSO), craniocaudal 30 degree tilt view (CC30T), axillary view를 포함한다. 특히 SSO에서 견봉 및 ACJ의 형태 및 골극의 유무를 파악하고, CC30T에서는 견봉 돌출의 정도를 파악할 수 있다. 최근 고해상도의 MDCT로서 얻은 3차원 영상이 충돌증후군의 전반적인 영상 소견을 파악할 수 있고 수술전 평가에 이용되고 있다. MRI 및 MR Arthrography의 영상은 일반적으로 극상건의 주행에 따른 고식적 MR 사위 관상면이 중요하고 사위 시상면에서 견봉돌기의 형태와 대결절에 부착되는 극상건의 파열 유무와 정도를 파악할 수 있다. MR 관절조영술 후 외전 및 외회전후 (ABER view)의 영상도 관절면 쪽으로 부분 파열된 극상건의 진단에 유용하다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.415-417
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• 2001

본 논문에서는 주차 단속의 자동화를 위해 입력된 차량 영상으로부터 번호판 영역의 복합 색상 정보와 명암 벡터를 이용하여 번호판 영역을 추출하는 알고리즘을 제안한다. 일반적으로 명암도 영상에서는 번호판 영역의 숫자나 문자와 배경간의 명암도 변화는 뚜렷하게 나타나고, 다른 영역에 비하여 명암벡터의 밀집도가 높다는 특징을 가지고 있다. 이러한 특징을 이용하여, 번호판 영상의 하측 라인부터 명암 벡터의 부호 변화가 임계치 이상으로 나타나고, 자가용 또는 영업용 번호판 색상이 일정 수준으로 검출되는 구간을 번호판 영역으로 검출하고 이를 기준으로 대략 박스를 설정한다. 정교한 번호판 영역은 수직 소벨 에지 영상의 프로젝션으로 추출한다. 제안한 알고리즘을 평가하기 위하여, 다양한 시간과 장소에서 촬영되고 차량 주변의 복잡한 배경이 충분히 포함된 총 100장의 주차 단속 영상을 사용하였다. 실험 결과, 명암벡터와 색상정보를 함께 사용한 제안한 방법 이 명암벡터만을 사용한 방법에 비해 약 10% 향상된 97%의 번호판 추출률을 보였으며, 차량 종류의 자동 구분도 가능하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.388-389
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• 2012

본 논문에서는 동영상을 시공간적 중요도 기반으로 요약하는 기법을 제안한다. 동영상 내에서 각 프레임의 중요도를 평가하여 높은 우선순위를 가지는 구간들의 집합으로 요약을 수행한다. 화면내의 얼굴면적의 비율, 영상의 복잡도를 통하여 각 프레임이 가지는 공간적 중요도를 분석하고 인접한 프레임간의 비교를 통해 밝기 히스토그램과 움직임(motion)의 양을 추정함으로써 시간적 중요도를 구한다. 에지 보존 스무딩 필터를 밝기 히스토그램에 적용하여 장면 전환을 검출한다. 분리된 장면들로 과분할 구조를 가지는 계층적 트리를 생성하여 사용자가 요구한 재생길이를 가지는 동영상을 자동으로 저작한다. 본 논문에서는 동영상 분석 및 저작을 제한적인 환경인 스마트폰에서 효과적으로 작동하도록 구현 및 최적화를 수행하였다.