• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2017.11a
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• pp.84-87
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• 2017

주변 픽셀간의 명도 차이가 작을수록 같은 경계를 구성하고 있을 가능성이 크다. 따라서 주변 픽셀간의 명도를 고려하여 경계 추출기를 활용한다면 보다 정확한 경계선 추출이 가능하다. 하지만 한가지의 히스토그램 평활화와 k-means 군집화를 사용하는 기존 알고리듬은 평활화에 의한 이미지 왜곡이나, 명도 차이가 큰 픽셀이 같은 그룹에 속하는 경우 혹은 명도 차이가 작은 픽셀이 각각 다른 그룹에 속하는 경우와 같이 그룹화의 오류가 있기 때문에 원본 이미지에 없던 불필요한 경계선이 발견되었다. 본 논문은 하나의 이미지에 대해서 여러 가지 히스토그램 평활화 방법으로 각각 다른 명도 분포를 얻어내어 적응적으로 경계선을 판단하는 알고리듬을 제안한다. 이는 기존 알고리듬에서 나타나는 불필요한 경계선을 제거하였으며 기본 경계 추출기의 효과를 향상시켰다.

• Journal of the Korean Society of Radiology
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• v.13 no.2
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• pp.313-318
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• 2019

To improve the sensitivity, a detector using a block scintillator was developed. In the pixelated scintillator, a reflector is located between pixels to move the light generated from the scintillator to the photosensor as much as possible, and sensitivity loss occurs in the reflector portion. In order to improve the sensitivity and to have the characteristics of the pixelated scintillator, the block scintillator was processed into a scintillator in pixel form through three-dimensional laser engraving. The energy spectra and energy resolution of each pixel were measured, and sensitivity analysis of block and pixel scintillator was performed through GATE simulation. The measured global energy resolution was 20.7%, and the sensitivity was 18.5% higher than that of the pixel scintillator. When this detector is applied to imaging devices such as gamma camera and positron emission tomography, it will be possible to shorten the imaging time and reduce the dose of patient by using less radiation source.

• Journal of the Korean Society of Radiology
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• v.16 no.2
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• pp.151-156
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• 2022

A detector using a small number of photosensors was designed, and the position of a scintillation pixel that interacted with gamma rays through a maximum likelihood position estimation(MLPE) was measured as a digital position. For this purpose, simulation was performed using DETECT2000, which can simulate the movement of light within the scintillator, and the accuracy of position measurement was evaluated. A detector was configured using a 6 × 6 scintillation pixel array and 4 photosensors, and a gamma ray event was generated at the center of each scintillation pixel to create a look-up table through the ratio of acquired light. The gamma-ray event generated at the new position was applied as the input value of the MLPE, and the positiion of the scintillation pixel was converted into a digital positiion after comparison with the look-up table. All scintillation pixels were evaluated, and as a result, a high accuracy of 99.1% was obtained. When this method is applied to the currently usesd system, it is concidered that the process of determining the position of the scintillation pixel will be simplified.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.54-61
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• 2013

This paper presents a simplified hardware based edge detection circuit which is based on an analog correlator combining with the neighbor pixels in CMOS image sensor. A pixel element of the edge detector consists of an active pixel sensor and an analog correlator circuit which connects two neighbor pixels. The edge detector shares a comparator on each column that the comparator decides an edge of the target pixel with an adjustable reference voltage. The circuit detects image edge from CIS directly that reduces area and power consumption 4 times and 20%, respectively, compared with the previous works. And also it has advantage to regulate sensitivity of the edge detection because the threshold value is able to control externally. The fabricated chip has 34% of fill factor and 0.9 ${\mu}W$ of power per a pixel under 0.18 ${\mu}m$ CMOS technology.

• Journal of the Korean Society of Radiology
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• v.15 no.4
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• pp.525-531
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• 2021

The detector of the positron emission tomography (PET) is composed using a plurality of scintillation pixels and photo sensors. The use of multiple photo sensors increases cost and complicates signal processing. In this study, a detector with reduced cost and simple signal processing was designed using a small number of photo sensors. A scintillation pixel and a small number of photo sensors were used, and a optical guide was used to deliver light to all the photo sensors. A reflector is applied to the scintillation pixel and the optical guide to transmit the maximum amount of light to the photo sensor. A diffuse reflector and a specular reflector were used for the reflector, and a flood image was obtained by applying different thicknesses of the optical guide. An optimal combination was selected through comparative analysis of the acquired flood images. As a result, when specular reflectors were used for both the scintillation pixel and the optical guide, excellent flood images were obtained from optical guides of all thicknesses. For the optical guide, the optimal image was obtained when using a 3 mm thickness in consideration of the size of the image and the analysis of the point where the image of the scintillation pixel was formed.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.7
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• pp.291-296
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• 2015

In this paper, we propose a new confidence measure using pixel selection for eye detection and design a hybrid eye detector. For this, we produce sub-images by applying a pixel selection method to the eye patches and construct the BDA(Biased Discriminant Analysis) feature space for measuring the confidence of the eye detection results. For a hybrid eye detector, we select HFED(Haar-like Feature based Eye Detector) and MFED(MCT Feature based Eye Detector), which are complementary to each other, as basic detectors. For a given image, each basic detector conducts eye detection and the confidence of each result is estimated in the BDA feature space by calculating the distances between the produced eye patches and the mean of positive samples in the training set. Then, the result with higher confidence is adopted as the final eye detection result and is used to the face alignment process for face recognition. The experimental results for various face databases show that the proposed method performs more accurate eye detection and consequently results in better face recognition performance compared with other methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.11
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• pp.2503-2510
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• 2012

This paper proposes a parallel operation intra predictor for H.264/AVC decoder. In previous intra predictor design, common operation units were designed for 17 prediction modes in order to compute more effectively. However, it was designed by analyzing the equation applied to one pixel. So, there are four operation units for computing 16 pixels in a $4{\times}4$ block and they need four cycles. In this paper, the proposed intra predictor contains T3(Three Type Transform) operation unit for parallel operation. It divides 17 modes into 3 types to calculate 16 pixels of a $4{\times}4$ block in only one cycle and needs 16 cycles minimum in 16x16 block. As the result of the experiment, in terms of processing cycle, the performance of proposed intra predictor is 58.95% higher than the previous one.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.46 no.7
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• pp.47-52
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• 2009

H.264 video coding standard is widely used due to the high compression rate and quality. The motion compensation is the most time-consuming and complex unit in the H.264 decoder. The performance of the motion compensation is determined by the calculation of pixel interpolation and management of the reference pixels. The reference pixels read from external memory using efficient memory management for data reuse is necessary along with the high performance interpolators. We propose the architecture of a motion compensation unit for H.264 decoders. It is composed of 2-dimensional circular register files, a motion vector predictor and high performance interpolators with low complexity. The 2-dimensional circular register files reuse reference pixel data as much as possible, and feed reference pixel data to interpolators without any latency and complex logic circuits. We design a motion compensation unit and a intra-prediction unit and integrate them into a prediction unit and verify the operation and the performance.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.2
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• pp.55-60
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• 2007

This paper presents a compact double resolution scheme for the optical angle sensor based on 1-dimensional CMOS photodiode pixel array. All the pixels are divided into the even pixel and the odd pixel groups. The winner take all circuit is provided for each group. The proposed interpolation scheme increases the resolution by 2 from the winner addresses and winner values. The interpolation scheme can be implemented without any additional pixels or winner take all circuits and require only a comparator and a XOR gate. The proposed pixel array chip that has 336 photodiode pixels with $5.6{\mu}m$ pitch was fabricated with $0.35{\mu}m$ CMOS process and was assembled with a $50{\mu}m$ slit to form an angle sensor. The measured resolution is $0.1{\circ}$ with the proposed interpolation. The chip consumes 35mW and provides 8k samples per second.

• Journal of the Korean Society of Radiology
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• v.12 no.1
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• pp.65-70
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• 2018

Computed tomography system is widely used on various fields because section image of an object can be acquired. During several step to obtain section image, artifacts by many error factors can be added on the image. Ring artifact induced by the CT system is examined in this study. A test phantom of $512{\times}512$ size was constructed numerically, and the ring artifact was investigated by the algebraic reconstruction technique. The computer program was realized using Visual C++ under the fan beam geometry with projections of 720 and detector pixel of 1,280. The generation of ring artifact was verified by applying different detection efficiency on detector pixels. The ring intensity became large as increasing the ring value, and the ring artifacts were strongly emphasized near the center of the reconstructed image. The ring artifact may be eliminated by tracking the position of ring artifact on the reconstructed image and by calibrating the detector pixel.