• 대한임베디드공학회논문지
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• 제7권5호
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• pp.247-253
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• 2012

This paper presents sensor network based autonomous vehicle system using a proposed image processing algorithm. The proposed image processing algorithm consists of pre-processing and five-stage image processing: coordinate calculation, driving area decision, line segment calculation, steeling decision, and acceleration decision. We evaluate the performance of the proposed algorithm on both straight road and curved road. Experimental results indicate that the proposed algorithm works well for autonomous vehicles. However, control accuracy of the proposed algorithm decreases as speed is increasing.

• 한국통신학회논문지
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• 제27권8A호
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• pp.796-804
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• 2002

본 논문에서는 방향성필터뱅크(Directional Filter Bank; DFB)에 기반하여 지문영상을 해석하여 처리하는 새로운 방법을 제안한다. 지문에서 융선의 방향성는 방향성지도를 구성하고, 이로부터 방향성 필터링을 통한 영상 향상을 행하는 등 지문 영상을 해석하는 전처리과정에서 매우 중요한 요소이다. DFB는 입력영상을 방향성대역영상으로 분해한 다음 이로부터 원영상을 완전하게 복원하는 필터이다. 본 논문에서는 DFB를 이용하여 지문영상을 여러 개의 방향성대역영상으로 분해하고, 이로부터 국부 방향성 에너지를 정의한 다음, 이를 기반으로 방향성지도의 제작, 영상분할, 특이점추출 및 영상개선의 처리과정들을 일관되게 수행하는 알고리듬을 제안한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4866-4888
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• 2020

One major and time-consuming task in fish production is obtaining an accurate estimate of the number of fish produced. In most Nigerian farms, fish counting is performed manually. Digital image processing (DIP) is an inexpensive solution, but its accuracy is affected by noise, overlapping fish, and interfering objects. This study developed a catfish recognition and counting algorithm that introduces detection before counting and consists of six steps: image acquisition, pre-processing, segmentation, feature extraction, recognition, and counting. Images were acquired and pre-processed. The segmentation was performed by applying three methods: image binarization using Otsu thresholding, morphological operations using fill hole, dilation, and opening operations, and boundary segmentation using edge detection. The boundary features were extracted using a chain code algorithm and Fourier descriptors (CH-FD), which were used to train an artificial neural network (ANN) to perform the recognition. The new counting approach, based on the geometry of the fish, was applied to determine the number of fish and was found to be suitable for counting fish of any size and handling overlap. The accuracies of the segmentation algorithm, boundary pixel and Fourier descriptors (BD-FD), and the proposed CH-FD method were 90.34%, 96.6%, and 100% respectively. The proposed counting algorithm demonstrated 100% accuracy.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2023년도 추계학술발표대회
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• pp.557-560
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• 2023

In this paper, we introduce a pre-training method leveraging the capabilities of the Vision Transformer (ViT) for disease diagnosis in conventional Fundus images. Recognizing the need for effective representation learning in medical images, our method combines the Vision Transformer with a Masked Autoencoder to generate meaningful and pertinent image augmentations. During pre-training, the Masked Autoencoder produces an altered version of the original image, which serves as a positive pair. The Vision Transformer then employs contrastive learning techniques with this image pair to refine its weight parameters. Our experiments demonstrate that this dual-model approach harnesses the strengths of both the ViT and the Masked Autoencoder, resulting in robust and clinically relevant feature embeddings. Preliminary results suggest significant improvements in diagnostic accuracy, underscoring the potential of our methodology in enhancing automated disease diagnosis in fundus imaging.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.359-360
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• 2021

영상의 픽셀기반처리는 한 픽셀의 값을 변환하는데 다른 픽셀의 값에 관계없이 단지 현재의 픽셀의 값에만 의존하여 변환하는 처리를 의미한다. 픽셀기반 처리는 영상 변환, 영상 개선, 영상 합성 등의 많은 분야에서 가장 기초적인 연산으로 사용된다. 산술연산, 히스토그램 평활화, 명암대비 스트레칭 등의 처리 방법들이 있다. 본 논문에서는 드론으로 촬영된 서해안 갯벌 영상에서 갯벌 영역을 명확하게 구분하기 위하여 전처리 과정 중 경계검출부분에서 픽셀기반처리를 이용하여 효율적인 윤곽선을 찾기 위한 방법을 모색한다.

• 방송공학회논문지
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• 제23권2호
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• pp.235-245
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• 2018

최근 카메라의 제한된 시야각을 극복하고 여러 영상을 하나의 영상으로 정합하여 넓은 시야각을 제공하는 파노라마 영상 기술 개발에 대한 연구가 활발히 진행되고 있다. 본 논문은 파노라마 영상 제작 시 속도와 정확도 향상을 위한 전처리, 후처리 과정을 제안한다. 전처리 단계에서 카메라 센서 정보인 3차원 회전각으로 영상 간 공통 영역을 구하여 스티칭 알고리즘 소요 시간을 단축한다. 또한 후처리 단계에서 가중치를 추가한 최소 오차 경계 블랜딩 방법을 제안하여 파노라마 영상의 정확도를 향상시키고 이를 실험을 통해 결과 검증 및 비교한다

• Imaging Science in Dentistry
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• 제48권4호
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• pp.261-268
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• 2018

Purpose: To determine the impact of an image processing technique on diagnostic accuracy of digital panoramic radiographs for the assessment of anatomical structures in paediatric patients with mixed dentition. Materials and Methods: The study consisted of 50 digital panoramic radiographs of children aged from 6 to 12 years, which were later on processed using a dedicated image processing method. A modified clinical image quality evaluation chart was used to evaluate the diagnostic accuracy of anatomical structures in maxillary and mandibular anterior and maxillary premolar region of processed images. Results: A statistically significant difference was observed between pre and post-processed evaluation of anatomical structures(P<0.05) in the maxillary and mandibular anterior region. The anterior region was found to be more accurate in post-processed images. No significant difference was observed in the maxillary premolar region (P>0.05). The Inter-observer and intra-observer reliability of both pre and post processed images were excellent (>0.82) for anterior region and good (>0.63) for premolar region. Conclusion: The application of image processing technique in digital panoramic radiography can be considered a reliable method for improving the quality of anatomical structures in paediatric patients with mixed dentition.

• 비파괴검사학회지
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• 제34권2호
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• pp.128-134
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• 2014

Infrared thermography is an emerging approach to non-contact, non-intrusive, and non-destructive inspection of various solid materials such as metals, composites, and semiconductors for industrial and research interests. In this study, data processing was applied to infrared thermography measurements to detect defects in metals that were widely used in industrial fields. When analyzing experimental data from infrared thermographic testing, raw images were often not appropriate. Thus, various data analysis methods were used at the pre-processing and processing levels in data processing programs for quantitative analysis of defect detection and characterization; these increased the infrared non-destructive testing capabilities since subtle defects signature became apparent. A 3D finite element simulation was performed to verify and analyze the data obtained from both the experiment and the image processing techniques.

• Journal of Information Processing Systems
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• 제19권4호
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• pp.417-426
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• 2023

To improve the effect of image restoration and solve the image detail loss, an image dehazing enhancement algorithm based on mean guided filtering is proposed. The superpixel calculation method is used to pre-segment the original foggy image to obtain different sub-regions. The Ncut algorithm is used to segment the original image, and it outputs the segmented image until there is no more region merging in the image. By means of the mean-guided filtering method, the minimum value is selected as the value of the current pixel point in the local small block of the dark image, and the dark primary color image is obtained, and its transmittance is calculated to obtain the image edge detection result. According to the prior law of dark channel, a classic image dehazing enhancement model is established, and the model is combined with a median filter with low computational complexity to denoise the image in real time and maintain the jump of the mutation area to achieve image dehazing enhancement. The experimental results show that the image dehazing and enhancement effect of the proposed algorithm has obvious advantages, can retain a large amount of image detail information, and the values of information entropy, peak signal-to-noise ratio, and structural similarity are high. The research innovatively combines a variety of methods to achieve image dehazing and improve the quality effect. Through segmentation, filtering, denoising and other operations, the image quality is effectively improved, which provides an important reference for the improvement of image processing technology.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.113-116
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• 1996

In this paper, an algorithm to generate the mounting position and orientation of SMD is proposed. For the proposed algorithm, we used the image captured from PCB and utilized image processing technique. Pre-processing technique, threshold level determination method, divided recognition of the SMD pattern on a PCB, calculating mounting position and orientation are related topics of this research. All of the related topics were reviewed and the results of this research were obtained from applying the algorithm to the real Surface Mounting Machine(model: MCU1 /CPM) made by Samsung Electronics Co.(Ltd.)