• Progress in Medical Physics
• /
• v.25 no.4
• /
• pp.218-224
• /
• 2014

The small field dosimetry is very important in modern radiotherapy because it has been frequently used to treat the tumor with high dose hypo-fractionated radiotherapy or high dose single fraction stereotactic radiosurgery (SRS) with small size target. But, the dosimetry of a small field (< $3{\times}3cm^2$) has been great challenges in radiotherapy. Small field dosimetry is difficult because of (a) a lack of lateral electronic equilibrium, (b) steep dose gradients, and (c) partial blocking of the source. The objectives of this study were to measure and verify with the various detectors the output factors in a small field (<3 cm) for the 6 MV photon beams. Output factors were measured using the CC13, CC01, EDGE detector, thermoluminescence dosimeters (TLDs), and Gafchromic EBT2 films at the sizes of field such as $0.5{\times}0.5$, $1{\times}1$, $2{\times}2$, $3{\times}3$, $5{\times}5$, and $10{\times}10cm^2$. The differences in the output factors with the various detectors increased with decreasing field size. Our study demonstrates that the dosimetry for a small photon beam (< $3{\times}3cm^2$) should use CC01 or EDGE detectors with a small active volume. And also, Output factors with the EDGE detectors in a small field (< $3{\times}3cm^2$) coincided well with the Gafchromic EBT2 films.

• Convergence Security Journal
• /
• v.7 no.3
• /
• pp.39-44
• /
• 2007

In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny's edge detector.

• Journal of Korea Entertainment Industry Association
• /
• v.5 no.1
• /
• pp.127-133
• /
• 2011

Characters in natural image are an important information with various context. Previous work of character region detection algorithms is not detect of character region in case of image complexity and the surrounding lighting, similar background to character, so this paper propose an method of character region detection in natural image using edge and connected component by morphological reconstructions. Firstly, we detect edge using Canny-edge detector and connected component with local min/max value by morphological reconstructed-operation in gray-scale image, and labeling each of detected connected component elements. lastly, detected candidate of text regions was merged for generation for one candidate text region, Final text region detected by checking the similarity and adjacency of neighbor of text candidate individual character. As the results of experiments, proposed algorithm improved the correctness of character regions detection using edge and connected components.

• Journal of the Korea Society of Computer and Information
• /
• v.10 no.4 s.36
• /
• pp.133-141
• /
• 2005

An edge is where the intensity of an image moves from a low value to high value or vice versa. The edges tell where objects are. their shape and size. and something about their texture. Many traditional edge operators are derivative based and perform reasonably well for simple noise-free images. In recent, statistical edge detectors for complex images with noises have been described. This paper compares and analysis the performance of statistical edge detectors based on the T test and Wilcoxon test, and mathematical edge detectors based on Sobel operator, and the well-known Canny detector and Wavelet transformation detector, and provides the implementation of these edge detectors using Java on the web.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.50 no.10
• /
• pp.76-81
• /
• 2013

A new phase frequency detector based digital phase-locked loop (PLL) of 125 MHz was designed using the 130 nm CMOS technology library consisting of inverting edge detectors along with a typical digital phase-locked loop to reduce the lock time and jitter for mid-frequency applications. XOR based inverting edge detectors were used to obtain a transition earlier than the reference signal to change the output more quickly. The HSPICE simulator was used in a Cadence environment for simulation. The performance of the digital phase-locked loops with the proposed phase frequency detector was compared with that of conventional phase frequency detector. The PLL with the proposed detector took $0.304{\mu}s$ to lock with a maximum jitter of approximately 0.1142 ns, whereas the conventional PLL took a minimum of $2.144{\mu}s$ to lock with a maximum jitter of approximately 0.1245 ns.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.3
• /
• pp.109-114
• /
• 2021

GAN(Generative Adversarial Network) is an image generation model, which is composed of a generator network and a discriminator network, and generates an image similar to a real image. Since the image generated by the GAN should be similar to the actual image, a loss function is used to minimize the loss error of the generated image. However, there is a problem that the loss function of GAN degrades the quality of the image by making the learning to generate the image unstable. To solve this problem, this paper analyzes GAN-related studies and proposes an edge GAN(eGAN) using edge detection. As a result of the experiment, the eGAN model has improved performance over the existing GAN model.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.19 no.12
• /
• pp.2785-2791
• /
• 2015

In this paper, neddle detection algorithm for the removal of needle stuck into skin in oriental clinic is presented. First, in the proposed method, potential candidate areas of each needle are selected by using the morphological open operation in a gray image, and the false candidates are removed by considering their area size. Next, edge points are extracted using canny edge detector in selected candidate areas, line segments are approximated using the edge points. Based on the direction of line segment and the distance between two line segments, two main line segments of the needle are extracted. The final verification of needle is accomplished by using the morphological analysis of these two line segments. In the experiments, the detection rate of proposed method reaches to 97.5% for the 16 images containing 119 needles.

• Convergence Security Journal
• /
• v.6 no.3
• /
• pp.29-35
• /
• 2006

In order to detect and locate edge features precisely in real images we have developed an algorithm by introducing a nonlocal differentiation of intensity profiles called adaptive directional derivative (ADD), which is evaluated independently of varying ramp widths. In this paper, we first develop the edge detector system employing the ADD and then, the performance of the algorithm is illustrated by comparing the results to those from the Canny's edge detector.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.19 no.1
• /
• pp.175-181
• /
• 2005

This paper proposes the fuzzy-PLL control system for fast response time and precision control of automation systems. The conventional PLL has not only a jitter noise caused from such a demerit of the wide dead zone, but also a long delay interval that makes a high speed operation unable. In order to solve the problems, the proposed system, which provides the improvement in terms of the control region in high speed and precision control, first used the fuzzy control method for fast response time and when the error reaches the preset value, used the PLL method designing new PFD for precision control. The new designed multi-PFD improves the dead zone, jitter noise and response characteristics, which is consists of P-PFD(Positive edge triggered PFD) and N-PFD(Negative edge triggered PFD) and can improve response characteristics to increase PFD gain.

• Proceedings of the Korean Information Science Society Conference
• /
• 1999.10b
• /
• pp.503-505
• /
• 1999

경계선 검출은 컴퓨터를 이용한 영상인식의 첫 단계로서, 인식의 성능에 큰 영향을 미치는 중요한 기술이다. 여러 가지 경계선 검출 기술들이 존재하지만, 이들은 모두 주어진 영사에 잡음이 존재하지 않거나 존재의 정도가 미약한 경우를 가정하여 개발되었다. 한편, 잡음이 심하게 삽입된 경우에는 경계선 검출기 적용 이전에 잡음제거 필터를 사용할 수 있다. 그러나 주어진 영상에 잡음이 존재하는지를 어떻게 컴퓨터 스스로 판단할 것인가\ulcorner 본 연구에서는 주어진 영상에 대하여 잡음의 존재 여부와 잡음의 정도 여부에 상관없이, 굳건한 경계선 검출 능력을 보이는 경계선 검출기를 개발하였다. 이를 위하여 이중 필터를 사용하였는데, 그 중 하나는 일반적으로 많이 사용되는 가우시안 필터이고, 다른 하나는 본 연구진에 의하여 개발된 웨이블릿 기반 필터이다. 실험결과, 본 논문의 경계선 검출기는 잡음의 정도에 크게 구애받지 않는 일정한 성능을 보여주었다.