• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.3
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• pp.669-675
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• 2005

This paper proposes coordinates transformation and calibration algorithm using 3D parabolic coordinate transformation and delta-bar-delta neural algorithm for the omni-directional image captured by catadioptric camera. Experimental results shows that the proposed algorithm has accuracy and confidence in coordinate transformation which is sensitive to environmental variables.

• Journal of the Semiconductor & Display Technology
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• v.6 no.3
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• pp.55-59
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• 2007

Wavelet Transform is amenable to efficient algorithms. So wavelet transform was adopted many signal processing and communication applications. For example, the wavelet transform was adopted as the transform for JPEG2000. However, Wavelet has weakness about smoothness along the contours and limited directional information. Hence, recently, some new transforms have been introduced to take advantage of this property. So we use to other transform, called contourlet transform in compression. In this paper, we propose a new method for image compression based on the contourlet transform, which has been recently introduced. Contourlet transform has a good result about images with smooth contours. Moreover, Contourlet is feasible multiresolution and multidirection expansion using non-separable filter bank. This treatise shows a good image representation after compressing using contourlet transform.

• Proceedings of the IEEK Conference
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• 2003.11c
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• pp.81-85
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• 2003

The Bi-directional Wireless Capsule endoscope con sists of CMOS Image sensor, FPGA, LED, Battery, DC to DC Converter, Transmitter, Receiver and Antennas. The RF transmitter at 1.2GHz range is designed and fabricated with 10 mm(diameter)x1.6 mm(thickness) dimension considering the maximum permission exposure(MPE), system size, power consumption, linearity and modulation method. The fabricated RF receiver at 400MHz range can demodulate the external signals so as to control the behavior of CMOS image sensor. four LEDs and Transmitter.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.244-246
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• 2014

Edge detection is a technique that obtains the particular information of the image using the brightness variation of pixel values and utilized for preprocessing in various image processing sectors. The conventional edge detection methods such as Sobel, Prewitt and Roberts are processed by applying the same weighted value to the entire pixels regardless of pixel distribution and provides somewhat insufficient edge detection results. Therefore, this paper has proposed an edge detection algorithm considering the direction and size of pixels by applying a modified directional mask.

• Korean Journal of Oriental Medicine
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• v.16 no.2
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• pp.193-198
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• 2010

Objectives : The directional supplementation and draining and twirling supplementation and draining have been used widely in oriental medical clinic. The aim of this study is to compare the effects between directional supplementation and draining method and twirling supplementation and draining. Methods : Clinical experiment was performed with 21 students of oriental medical college of Daegu Haany university. Acupuncture was applied at left Hapgok (LI4) with directional supplementation and twirling supplementation respectively, and the thermographic change was checked using DITI (Digital Infrared Thermographic Image). Results and Conclusion : A significant thermographic change was observed at bilateral Igan (LI2), Yanggye (LI5), Gokji (LI11), and Yeonghyang (LI20) in directional supplementation. A significant thermographic change was observed at bilateral Igan (LI2), Yanggye (LI5), and Yeonghyang (LI20) in twirling supplementation. Based on the thermographic change, it could be demonstrated that directional supplementation is more effective that twirling supplementation.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.493-494
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• 2014

• Proceedings of the Korean Nuclear Society Conference
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• 2004.10a
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• pp.227-228
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• 2004

• Journal of the Korean Society of Radiology
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• v.5 no.4
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• pp.161-169
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• 2011

This research experimented on the change of the multiple colleague scan angle facing one scan object facet to many directions of the form of 3D about the visual angle nervous system forming the cubic distribution with the gradient magnetic field of the mri system and considered the existing basic angle oblique direction test coverage and comparison. MR system can freely select various pulse sequence and image slice. To oblique imaging for optic nerve viewing, we have studied the variation of scan angle between typical oblique scan method (sagittal-coronal plane) and multi directional angles oblique scan method (sagittal-coronal-axial plane) using gradient of MR system. In this study, the subjects of the experiment were normal adults in our country. As a result, we confirmed that multi directional angles oblique scan method can display anatomical information of more wider area than typical oblique scan method. In addition, to clearly display optic nerve, we also confirmed that image slice thickness and pulse sequence have effect on it.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.4
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• pp.308-316
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• 2004

As we know that there are so many restrictions controlling the autonomous robot to turn and move in an indoor space. In this research, Ive adopted the concept ‘Omni-directional wheel’ as a driving equipment, which makes it possible for the robot to move in horizontal and diagonal directions. Most of all, we eliminated the slip error problem, which can occur when the system generates power by means of slip. In order to solve this problem, we developed a ‘slip error correction algorithm’. Following this program, whenever the robot moves in any directions, it defines its course by comparing pre-programmed direction and the current moving way, which can be decided by extracted image of floor line. Additionally, this robot also provides the limited security and service function. It detects the motion of vehicle, transmits pictures to multiple users and can be moved by simple order's. In this paper, we tried to propose a practical model which can be used in an office.

• Journal of the Institute of Convergence Signal Processing
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• v.16 no.3
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• pp.83-89
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• 2015

Connected component labeling (CCL) is a mandatory step in image segmentation where objects are extracted and uniquely labeled. CCL is a computationally expensive operation and thus is often done in parallel processing framework to reduce execution time. Various parallel CCL methods have been proposed in the literature. Among them are NSZ label equivalence (NSZ-LE) method, modified 8 directional label selection (M8DLS) method, HYBRID1 method, and HYBRID2 method. Soh et al. showed that HYBRID2 outperforms the others and is the best so far. In this paper we propose a new hybrid parallel CCL algorithm termed as HYBRID3 that combines selective four directional label search (S4DLS) with label backtracking (LB). We show that the average percentage speedup of the proposed over M8DLS is around 60% more than that of HYBRID2 over M8DLS for various kinds of images.