• Progress in Medical Physics
• /
• v.12 no.1
• /
• pp.51-58
• /
• 2001

Synchrotron radiation (SR) has several advantages over convetional x-rays, including its phase, collimation, and high flux. A synchrotron radiation beamline 5C1 at Pohang Light Source (PLS) was recently built for imaging applications. We have shown that a SR imaging system is useful in imaging microscopic structures. SR with broad-band energy spectrum were adjusted to an object by Si wafers and their energy were approximately ranging from 6 keV to 30 keV. SR were passed through an object and finally transformed into visible lights by CdWO$_4$ scintillator screen. The visible lights which were reflected at an angle of 90 degrees by gold plated mirror were detected by a CCD camera and the image data were acquired using image acquisition system. A high-resolution phantom, capacitor, adult tooth, child tooth, cancerous breast tissue, and mouse lumbar vertebra were imaged with SR imaging system. The Objects were rotated within the field of view of the CCD detector, and their projection image data were obtained at 250 steps over 180 degrees rotation. Image reconstructions were carried out in a PC by using IDLTM(Research systems, Inc., US) program. The spatial resolution of the images acquired by the SR imaging system was measured with a high-resolution chart manufactured for several micrometer resolution. The specimens were also imaged with conventional x-ray radiography system to compare the image quality of radiography obtained with the SR imaging system. The results showed more structural details and high contrast images with SR imaging system than conventional x-ray radiography system. The SR imaging system may have a potential for imaging in biological researches, material applications, and clinical radiography.

• The KIPS Transactions:PartB
• /
• v.8B no.5
• /
• pp.533-538
• /
• 2001

In this paper, we extend FARGs single mode attribute to multiple attributes for real image application and present a new CBIR using FMARG(Fuzzy Multiple Attribute Relational Graph), which can handle queries involving multiple attributes, not only object label, but also color, texture and spatial relation. In the experiment using the synthetic image database of 1,024 images and the natural image database of 1.026 images built from NETRA database and Corel Draw, the proposed approach shows 6~30% recall increase in the synthetic image database and a good performance, at the displacements and the retrieved number of similar images in the natural image database, compared with the single attribute approach.

• Proceedings of the KOSOMBE Conference
• /
• v.1992 no.11
• /
• pp.22-25
• /
• 1992

Lipid component and water component image in living organism can be acquired due to its chemical shift difference. Various techniques for chemical shift imaging were used for acquiring separated image. It is necessary two imaging experiments to acquire two separated images wi th Dixon's method. This technique is less susceptible to local magnetic inhomogeneities and easily applied to multi-slice imaging. With CHESS and SECSI method, which based on chemical selectivity of R.F pusle, either water or lipid image can be acquired by one imaging experiment. However, those are more susceptible to local magnetic field inhomogeneities and difficult to apply to multi-slice imaging. The SECSI method showed best signal suppression ratio of fat and water, which is measure of separation of water and fat.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2011.11a
• /
• pp.133-136
• /
• 2011

본 논문에서는 SURF 알고리즘을 이용한 직교식 스테레오 카메라 영상의 칼라 불균형 보정 방법 제안한다. 제안 방법에서는 SURF 알고리즘을 이용하여 스테레오 좌, 우 영상의 대응점을 찾은 후, 찾은 대응점들의 칼라 보정 벡터를 영상 획득 모델을 기반으로 계산한다. 영상 전체에서 다양한 칼라 대응점 정보를 추출하기 위하여 본 논문에서는 분할영상을 이용하여 칼라 대응점 정보를 추출한다. 추출된 대응점 정보는 초기 칼라 보정 벡터로 변환할 수 있으며 좌, 우 영상의 모든 픽셀에 대하여 색정보가 가장 유사한 대응점의 보정 벡터를 사용하여 칼라 불균형을 보정한다. 초기 보정 벡터를 이용한 칼라 불균형 보정 후 존재하는 노이즈을 제거하기 위하여 유사한 색공간에 위치한 칼라 보정 벡터에 가우시안 필터를 적용한다. 실험 결과로 원본 영상과 보정된 영상의 칼라 히스토그램을 비교하였으며, 분할 영역의 수에 따른 보정 결과도 비교 제시하였다. 실험 결과는 제안한 방법이 직교식 스테레오 카메라 영상에 효과적인 칼라 불균형 보정 방법임을 보여준다.

• Journal of Korea Multimedia Society
• /
• v.12 no.9
• /
• pp.1233-1241
• /
• 2009

Over the 50 percents of women who are older than 45 years have osteoporosis. Because people hardly recognize this disease by themselves, the researches that measure bone mineral density have been doing widely to detect osteoporosis in the early stage. The most widely used methods for bone mineral density measurement are based on the X-ray imaging. Among them, DEXA(Dual-energy X-ray Absorptiometry) imaging is one of the important methods in bone mineral density measurement. DEXA images are useful methods to increase diagnosis efficiency by reducing anatomic noise as two images obtained from two different energy levels. However, it has some problems to a calibration parameter determined by the heuristic method for bone extraction. In this paper, we propose the method to extract bone in DEXA image using calibration parameter based on anatomic attenuation coefficient. The experimental results reveal that the proposed method is effective.

• Journal of Broadcast Engineering
• /
• v.14 no.4
• /
• pp.409-418
• /
• 2009

This paper proposes a method to estimate the flow speed of pedestrians in surveillance videos. In the proposed method, the average moving speed of pedestrians is measured by estimating the size of real-world motion from the observed motion vectors. For this purpose, a pixel-to-meter conversion factor is introduced which is calculated from camera parameters. Also, the height information, which is missing because of camera projection, is predicted statistically from simulation experiments. Compared to the previous works for flow speed estimation, our method can be applied to various camera views because it separates scene parameters explicitly. Experiments are performed on both simulation image sequences and real video. In the experiments on simulation videos, the proposed method estimated the flow speed with average error of about 0.08m/s. The proposed method also showed promising results for the real video.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.21 no.11
• /
• pp.2121-2127
• /
• 2017

In this paper, we propose a computer vision based automatic defect detection method from ceramic image for non-destructive testing. From region of interest of the image, we apply brightness enhancing stretching algorithm first. One of the strength of our method is that it is designed to detect defects of images obtained from various thicknesses, that is, 8, 10, 11, 16, and 22 mm. In other cases we apply histogram based binarization algorithm. However, for 8 mm case, it may have false positive cases due to weak brightness contrast between defect and noise. Thus, we apply modified fuzzy binarization algorithm for 8 mm case. From the experiment, we verify that the proposed method shows stronger result than our previous study that used Blob labelling for all five thickness cases as expected.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.24 no.1
• /
• pp.84-89
• /
• 2014

In this paper, an image-based visual servo control strategy for tracking a target object is applied to a camera-mounted omni-directional mobile robot. In order to get target angular velocity of each wheel from image coordinates of the target object, in general, a mathematical image Jacobian matrix is built using a camera model and a mobile robot kinematics. Unlike to the well-known mathematical image Jacobian, a simple rule-based control strategy is proposed to generate target angular velocities of the wheels in conjunction with size of the target object captured in a camera image. A camera image is divided into several regions, and a pre-defined rule corresponding to the target-located image region is applied to generate target angular velocities of wheels. The proposed algorithm is easily implementable in that no mathematical description for image Jacobian is required and a small number of rules are sufficient for target tracking. Experimental results are presented with descriptions about the overall experimental system.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.2
• /
• pp.19-24
• /
• 2019

Digital technologies in the digital image field are developing and changing rapidly while creating various forms of media environments. In particular, broadcasting image-processing technologies provide more realistic images through the development of multimedia technology. Consequently, the needs of flat image quality have been nearly met, leading to technological saturation. Currently, flat images possess the advantages of popularity and freedom from visual fatigue over three-dimensional stereoscopic images. A complementary technology for flat images is the stereoscopic perception improvement technology. To examine correlations between stereoscopic perception and colour attributes for graphic images on flat displays, we have conducted experiments related to stereoscopic perception and analysed the results. In these experiments, the colour attributes of hue, value, and chroma were applied at different levels. Next, the factors that provide the highest stereoscopic perception and their interactions were analysed through analysis of variance. Finally, this study defines the significance of colour factors related to stereoscopic perception by analysing the experimental results, and proposes a colour adjustment method for improved stereoscopic perception in graphics image processing.

• The Journal of the Acoustical Society of Korea
• /
• v.42 no.5
• /
• pp.422-428
• /
• 2023

Ultrafast ultrasound imaging has been applied to various imaging approaches, including shear wave elastography, ultrafast Doppler, and super-resolution imaging. However, these methods are still challenging in real-time implementation for three Dimension (3D) or portable applications because of their massive data rate required. In this paper, we proposed an adaptive quantization method that effectively reduces the data rate of large Radio Frequency (RF) data. In soft tissue, ultrasound backscatter signals require a high dynamic range, and thus typical quantization used in the current systems uses the quantization level of 10 bits to 14 bits. To alleviate the quantization level to expand the application of ultrafast ultrasound imaging, this study proposed a depth-sectional quantization approach that reduces the quantization errors. For quantitative evaluation, Field II simulations, phantom experiments, and in vivo imaging were conducted and CNR, spatial resolution, and SSIM values were compared with the proposed method and fixed quantization method. We demonstrated that our proposed method is capable of effectively reducing the quantization level down to 3-bit while minimizing the image quality degradation.