• 한국정보통신학회논문지
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• 제20권3호
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• pp.647-653
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• 2016

최근, 디지털 영상처리는 방송, 통신, 컴퓨터 그래픽, 의학 분야 등에서 많이 응용되고 있으며, 일반적으로 영상 데이터는 전송하는 과정에서 잡음이 발생한다. 이에 따라 영상에 첨가되는 잡음을 제거하기 위한 연구가 활발히 진행되고 있다. 영상에 첨가되는 잡음에는 다양한 종류가 있으며, salt and pepper 잡음, AWGN, 복합잡음이 대표적이다. 따라서 본 논문에서는 영상에 첨가된 복합잡음의 영향을 완화하기 위하여 잡음 판단 후, salt and pepper 잡음은 히스토그램과 기존의 공간 가중치를 이용하여 처리하고, AWGN은 국부 마스크의 화소 정보를 이용하여 가중치를 설정하고 처리하는 영상복원 필터 알고리즘을 제안하였다. 제안한 알고리즘은 salt and pepper 잡음(P=50%) 및 AWGN(${\sigma}=10$)에 훼손된 Lena 영상을 적용하여 처리한 결과, 기존의 CWMF, A-TMF, AWMF에 비해 각각 7.06[dB], 10.90[dB], 5.97[dB] 개선되었다.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 춘계학술대회
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• pp.152-155
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• 2009

본 논문은 90/150 NBCA(Null Boundary Cellular Automata)에 기반한 여원 MLCA(Maximum Length Cellular Automata)를 이용하여 영상을 암호화하는 방법을 제안한다. 암호화 방법은 먼저 선형 MLCA에서 유도된 여원 MLCA를 이용하여 원 영상의 크기만큼 PN(pseudo noise) 수열을 생성한다. 그 후 생성된 여원 MLCA 수열을 원 영상과 XOR 연산하여 암호화를 한다. 마지막으로 실험을 통하여 본 방법의 유효성을 검증한다.

• 한국정보통신학회논문지
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• 제13권5호
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• pp.944-951
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• 2009

본 논문에서는 용접부에 존재하는 결함을 자동으로 검출하기 위해서 영상처리 알고리즘을 이용한다. 용접부는 조명에 민감하고 패턴이 불규칙해서 검출에 어려움이 있다. 그래서 두 가지 조명 조건으로 영상을 획득하고 2차에 걸쳐 알고리즘을 적용한다. 1차 알고리즘은 첫 번째 영상을 몇 개의 ROI로 분할 한 후, 분할된 영역들간의 명암도 분포의 유사도를 비교한다. 2차 알고리즘은 두 번째 영상에서 경계 정보를 검출하고 경계선 길이, 곡률, 기준선 범위를 계산한다. 제안한 알고리즘을 이용하여 실험한 결과 결함 검출과 분류에 뛰어난 성능을 보였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.972-974
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• 2009

This paper presents smart regional contrast enhancement technique of partitioned image for local dimming backlight on small-sized mobile display to reach two goals. One is to save the power consumption, and the other to improve contrast ratio of display image. Recently new advanced method is proposed, named local dimming method, that backlight LED is positioned on backside of the display panel. So it is important to partition an image by sub blocks and then post-processing independantly. This means regional contrast enhancement. After partitioning, we compare the mean luminance(Y) value of each sub-block image with the one of original whole image. If some blocks have the mean value lower than the one of whole image, they are processed with the proposed method and others are bypassed. Simultaneously the information of the processed blocks are transferred to BLC(Backlight LED Controller). And then the supply current of each backlight LED is reduced to realize the contrast ratio enhancement and at the same time to power consumption reduction. In addition, we verify this proposed method is free from blocking artifacts.

• 전자공학회논문지B
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• 제30B권8호
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• pp.8-15
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• 1993

This paper describes a normalization of character which is contained in the character recognition process. Line and dot density is computed on input character image and then image mapping is executed into destination. Also recognition is processed using overlap-partitioning of character image and extraction of 4 directional feature primitives. The validity of proposed nonlinear normalization algorithm could be verified by increment of recognition rate.

• 경영과정보연구
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• 제3권
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• pp.15-45
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• 1999

Processing techniques of remote sensed image data using computer have been recognized very necessary techniques to all social fields, such as, environmental observation, land cultivation, resource investigation, military trend grasp and agricultural product estimation, etc. Especially, accurate classification and analysis to remote sensed image da are important elements that can determine reliability of remote sensed image data processing systems, and many researches have been processed to improve these accuracy of classification and analysis. Traditionally, remote sensed image data processing systems have been processed 2 or 3 selected bands in multiple bands, in this time, their selection criterions are statistical separability or wavelength properties. But, it have be bring up the necessity of bands selection method by data distribution characteristics than traditional bands selection by wavelength properties or statistical separability. Because data sensing environments change from multispectral environments to hyperspectral environments. In this paper for efficient data classification in multispectral bands environment, a band feature extraction method using the Rough sets theory is proposed. First, we make a look up table from training data, and analyze the properties of experimental multispectral image data, then select the efficient band using indiscernibility relation of Rough set theory from analysis results. Proposed method is applied to LANDSAT TM data on 2 June 1992. From this, we show clustering trends that similar to traditional band selection results by wavelength properties, from this, we verify that can use the proposed method that centered on data properties to select the efficient bands, though data sensing environment change to hyperspectral band environments.

• 한국지리정보학회지
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• 제3권4호
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• pp.1-10
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• 2000

인공위성영상은 일반지도에 비해 많은 정보를 포함하고 있다. 위성에 탑재된 센서를 이용하여 수집하는 영상은 대부분 디지털 이미지로서 고가의 컴퓨터영상처리장비에 의하여 처리 분석해야만 한다. SPOT2-3호에서 수집한 강원도 춘천지역의 중복영상으로부터 자동으로 수치 표고모델을 작성함으로써 다양한 영상정보의 활용과 함께 입체영상지도제작 및 분석이 가능해지고 있다. 본 연구에서는 SPOT($60{\times}60km$)의 춘천지역을 대상으로 한눈에 영상을 재현할 수 있도록 고해상도의 인공위성 영상자료를 처리하여 영상지도를 제작하기 위한 DEM(digital elevation model)을 만들어 입체감을 가진 다 방향의 조감도를 작성하고자 하였다. 3차원 영상지도제작의 효율적인 방법을 모색하여 기존의 방법을 크게 개선하면서 경제적인 새로운 개념의 위성영상지도의 제작 및 활용가능성을 모색하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1993년도 한국자동제어학술회의논문집(국내학술편); Seoul National University, Seoul; 20-22 Oct. 1993
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• pp.256-263
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• 1993

The integration of deburring robots into product quality and productivity impact the industrial. In this paper the intelligent system of robotic deburring is proposed integrated with robot system, image processing system, force sensor system and host PC. The size, position, recognition of burr is determined by the information that the image processing system processed. The feed velocity of cutting tool is controlled by the information that the force sensor system processed. The integration of these information can remove the uncertainty of the information of deburring on the cutting path. The result of these technologies is useful for the development of the factory automation and automatic inspection equipments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권7호
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• pp.3620-3637
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• 2019

Since the birth of Synthetic Aperture Radar (SAR), it has been widely used in the military field and so on. However, the existence of speckle noise makes a good deal inconvenience for the subsequent image processing. The continuous development of sparse representation (SR) opens a new field for the speckle suppressing of SAR image. Although the SR de-noising may be effective, the over-smooth phenomenon still has bad influence on the integrity of the image information. In this paper, one novel SAR image de-noising method based on residual image fusion and sparse representation is proposed. Firstly we can get the similar block groups by the non-local similar block matching method (NLS-BM). Then SR de-noising based on the adaptive K-means singular value decomposition (K-SVD) is adopted to obtain the initial de-noised image and residual image. The residual image is processed by Shearlet transform (ST), and the corresponding de-noising methods are applied on it. Finally, in ST domain the low-frequency and high-frequency components of the initial de-noised and residual image are fused respectively by relevant fusion rules. The final de-noised image can be recovered by inverse ST. Experimental results show the proposed method can not only suppress the speckle effectively, but also save more details and other useful information of the original SAR image, which could provide more authentic and credible records for the follow-up image processing.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권1호
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• pp.56-62
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• 2004

This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.