• Journal of the Korean Society of Safety
• /
• v.15 no.1
• /
• pp.132-139
• /
• 2000

In this study, the fatigue life assessments of steel railway bridge in Japan National Railway were carried out. This railway bridge has been under in service from 1957, and fatigue damages were occurred at bead toe of upper part of vertical stiffeners of stringers, bead toes of scallop in lower part of vertical stiffeners in stringers and crossings of cross beams and stringers. From this study, a series of field tests were carried out by stress history measurement about above mentioned points. And as a results of stress histogram analysis, cummulative fatigue damage rate and fatigue life of these members should be calculate quantitatively. And from this estimation technique, cummulative fatigue damage rate and fatigue life of this railway bridge were strongly affected in passing tonage every year and the histories of live load.

• Journal of Advanced Marine Engineering and Technology
• /
• v.12 no.3
• /
• pp.43-56
• /
• 1988

The image processing system consisted of the microcomputer IBM PC-XT and the graphic board (16 gray level and $640{\times}400$ pixels resolution) has been proposed, and the image processing softwares programmed in the BASIC and in the assembler language have been developed. The programs are consisted of the main menu and the sub menu, that have contained the subroutine for the capture for image data, the determination of region, the histogram, the change of value, the montage, the skeleton, the mask, the moving, the zoom, the disk access and the print. For the application, the photoelastic fringe data have been captured and analyzed. It was seen that the programs are available for the image processing.

• Proceedings of the Korea Contents Association Conference
• /
• 2005.05a
• /
• pp.377-381
• /
• 2005

본 연구에서는 내용기반 이미지 검색을 위한 에지 히스토그램 분석기법을 제안하여 20종류의 다양한 에지에 대한 에지 히스토그램을 분석한다. 전체영역에 대한 수평방향 에지 히스토그램을 분석하고, 전체 영역을 몇 개의 부분영역으로 분할하고 각 부분영역에 대한 에지 히스토그램을 수행하여 영역별 특징을 추출한다. 그리고 각각의 수평방향 에지 히스토그램에서 20종류의 에지 성분의 발생 패턴을 추출한다. 본 연구에서 제안한 에지 히스토그램 분석기법은 일반적으로 사용되는 5종류의 에지 성분을 사용한 방법보다 다양한 형태의 에지를 분석을 가능하게 함으로서 내용 기반 이미지 검색을 수행하는데 있어서 다양한 에지 특징을 추출함으로서 내용 기반 이미지 검색을 효과적으로 할 수 있었다.

• Journal of Korea Multimedia Society
• /
• v.20 no.2
• /
• pp.108-114
• /
• 2017

Lip reading is a field of image processing to assist the process of sound recognition. In some environment, the capture of sound signal usually has significant noise and therefore, the recognition rate of sound signal decreases. Lip reading can be a good feature for the increase of recognition rates. Conventional lip extraction methods have been proposed widely. Maia et. al. proposed a method by the sum of Cr and Cb. However, there are two problems as follows: the point with maximum saturation is not always regarded as lips region and the inner part of lips such as oral cavity and teeth can be classified as lips. To solve these problems, this paper proposes a method which adopts the histogram-based classifier for the extraction of lips region. The proposed method consists of two stages, learning and test. The amount of computation is minimized because this method has no color conversion. The performance of proposed method gives 66.8% of detection rate compared to 28% of conventional ones.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2003.10a
• /
• pp.247-250
• /
• 2003

This paper describes the extraction method for brain region using cellular automata from the brain MR image. In the first removing the background from the brain MR image, and then extracting the brain region by applying the cellular automata rule obtained from histogram analysis information. The results on some experimental results showed that the PSNR is 42.11(dB) on image quality and also the correlation factor is estimated 98.46%. The result of this study can be used as the auto-diagnostics system.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.20 no.5
• /
• pp.841-851
• /
• 1996

The purpose of this study is to investigate the backstaining generated during cellulase treatment for indigo-dyed denim. The results were as follows. 1. High generating conditions of the backstaining were as same as best conditions for cellulose activity (temperature at 6$0^{\circ}C$, pH at about 4.5~5.5, treatment time at 40 min. and enzyme concentration at 2g/l). And also, liquor ratio, sample weight and repeated-use cycle of liquor had influenced on the backstaining. 2. The backstaining was decreased about 30~40% when various additives, that is, surfactant, anti-backstaining agent (C.M.C) and softners were added. 3. A application of image processing on the backstaining evaluation was more effective than method by reflectance, particullarly in out of level fabrics. In image analysis, the backstainings were measured by histogram between 256 gray levels.

• ETRI Journal
• /
• v.9 no.3
• /
• pp.3-12
• /
• 1987

In this paper, a non-classical autocorrelation detector adopting a newly defined test statistic is introduced to solve the typical problem of detecting a narrowband signal transmitted over an additive white Gaussian noise (AWGN) channel. Error probability analyses are performed for a noncoherent frequency-shift-keying (FSK) system employing the proposed test-statistic. Through the histogram approach, the probability density functions of the test-statistics are plotted to explain the analysis model. All numerical results obtained indicate the limited improvement in error performance under the lower signal-to-noise ratio (SNR) and the use of higher number of samples per bit will finally provide the almost same confident potential of improvement in error rate as the system using matched filters (MFs) gives.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.21 no.10
• /
• pp.2552-2562
• /
• 1996

In this paper, we propose a segmentation algorithm that can reliably separate moving objects from noisy background in the image sequance received from a camera at the fixed position. The proposed algorithm consists of three processes:generation of the difference image between the input image and the reference image, multilevel quantization of the difference image, and multistagemerging in the quantized image. The quantization process requantizes the difference image based on the multiple threshold values determined bythe histogram analysis. The merging starts from the seed region which created by using the highest threshold value and ends when termination conditions are met. the proposed method has been tested with various real imge sequances containing intruders. The test results show that the proposed algorithm can detect moving objects like intruders very effectively in the noisy environment.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.52 no.1
• /
• pp.45-50
• /
• 2003

Texture analysis has been efficiently utilized in the area of terrain classification. In this application features have been obtained in the 2D image domain. This paper suggests 3D co-occurrence texture features by extending the concept of co-occurrence to 3D world. The suggested 3D features are described using co-occurrence histogram of digital elevations at two contiguous position as co-occurrence matrix. The practical construction of co-occurrence matrix limits the number of levels of digital elevation. If the digital elevation is quantized into the number of levels over the whole DEM(Digital Elevation Map), the distinctive features can not be obtained. To resolve the quantization problem, we employ local quantization technique which preserves the variation of elevations. Experiments has been carried out to verify the proposed 3D co-occurrence features, and the addition of the suggested features significantly improves the classification accuracy.

• Steel and Composite Structures
• /
• v.37 no.2
• /
• pp.151-173
• /
• 2020

This paper aims to probabilistically evaluate performance of two types of I beam to box column (IBBC) connection. With the objective of considering the variability of seismic loading demand, statistical features of the inter-story drift ratio corresponding to the second, fifth and eleventh story of a 12-story steel special moment resisting frames are extracted through incremental dynamic analysis at global collapse state. Variability of geometrical variables and material strength are also taken into account. All of these random variables are exported as inputs to a probabilistic finite element model which simulates the connection. At the end, cumulative distribution functions of local seismic demand for each component of each connection are provided using histogram sampling. Through a parametric study on probabilistic local seismic demand, the influence of some geometrical random variables on the performance of IBBC connections is demonstrated. Furthermore, the probabilistic study revealed that IBBC connection with widened flange has a better performance than the un-widened flange. Also, a design procedure is proposed for WF connections to achieve a same connection performance in different stories.