• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1999년도 제14차 학술회의논문집
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• pp.262-265
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• 1999

This paper describes a new method for object extraction necessary for image tracking systems. The extraction method which this paper proposes here is that an M-array is set between a camera and the object and the obtained image including the object and M-array is pro-cessed for extracting the object. The image processing utilizes a characteristic of M-array which is robust to noise. When an M-array is overlapped on the object in background image, the object woud have a part of M-array, which is detected by use of partial correlation between the mosaic image of M-array and the standard M-array. Thus the shape and position of the object are extracted by extracting a common domain of width of high correlation value. Experiments are carried out by using an actual photo of Kumamoto city taken from an airplane as background, and by use of a rectangular and circular object. The results of experiment show a wide application of this method for practical image tracking systems.

• Journal of Information Processing Systems
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• 제14권6호
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• pp.1331-1346
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• 2018

Aiming at the problem that the gradient-based edge detection operators are sensitive to the noise, causing the pseudo edges, a triqubit-state measurement-based edge detection algorithm is presented in this paper. Combing the image local and global structure information, the triqubit superposition states are used to represent the pixel features, so as to locate the image edge. Our algorithm consists of three steps. Firstly, the improved partial differential method is used to smooth the defect image. Secondly, the triqubit-state is characterized by three elements of the pixel saliency, edge statistical characteristics and gray scale contrast to achieve the defect image from the gray space to the quantum space mapping. Thirdly, the edge image is outputted according to the quantum measurement, local gradient maximization and neighborhood chain code searching. Compared with other methods, the simulation experiments indicate that our algorithm has less pseudo edges and higher edge detection accuracy.

• Journal of Applied and Pure Mathematics
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• 제5권5_6호
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• pp.389-406
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• 2023

In the pursuit of enhancing image fusion techniques, this research presents a novel approach for fusing multimodal images, specifically infrared (IR) and visible (VIS) images, utilizing a combination of partial differential equations (PDE) and discrete cosine transformation (DCT). The proposed method seeks to leverage the thermal and structural information provided by IR imaging and the fine-grained details offered by VIS imaging create composite images that are superior in quality and informativeness. Through a meticulous fusion process, which involves PDE-guided fusion, DCT component selection, and weighted combination, the methodology aims to strike a balance that optimally preserves essential features and minimizes artifacts. Rigorous evaluations, both objective and subjective, are conducted to validate the effectiveness of the approach. This research contributes to the ongoing advancement of multimodal image fusion, addressing applications in fields like medical imaging, surveillance, and remote sensing, where the marriage of IR and VIS data is of paramount importance.

• 한국멀티미디어학회논문지
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• 제15권9호
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• pp.1102-1111
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• 2012

본 논문에서는 워터마크된 영상이 일부 손상되었다 할지라도 기하학적 공격에 강인한 다중 비트 워터마킹 방법을 제안한다. 이 방법은 임의의 영상을 기 정의된 표준 영상으로 변형하는 표준 영상 정규화 과정과 표준 정규화 영상의 DCT 영역에 대역 확산(spread spectrum) 기법을 이용하여 워터마크를 삽입하는 과정으로 구성되어있다. 제안한 표준 영상 정규화 방법은 기존의 영상 정규화 방법을 개선한 것으로써 부분 손상과 임의 기하학적 공격에 강인한 특성을 가지고 있으며, 대역 확산 기법을 이용한 워터마크 삽입과정은 블러링, 샤프닝, 압축 등과 같은 영상 손실에 강인한 특성을 가지고 있다. 또한 제안한 워터마킹 방법은 워터마크 검출을 위해 원영상이 필요하지 않기 때문에 공개 워터마킹(public watermarking) 응용에 적합하다. 몇 가지 실험을 통해 제안한 워터마킹 방법이 부분 손상 및 기하학적 변형을 포함한 여러 가지 공격에 강인하다는 것을 보여준다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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• pp.1006-1009
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• 2003

In this paper, we propose a technique of the recognition of partial face. Most of the research is concentrated on the recognition of whole face Since part of the face area in an image can be damaged or overlapped, face recognition based on partial face is required. PCA and LDA technique is applied to the recognition of partial face. Also, a new method to combine the results of the recognition of parts of the face.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.2287-2290
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• 2003

In this paper, an image vector quantization method is proposed not only to improve the compression ratio but also to reduce the computation cost. The proposed method could save the computation cost of codebook generation and encoding by using the modified LBG algorithm of Partial Search Partial Distortion (PSPD) in wavelet domain, by which the code book was constructed together with the partial codebook search, the partial code vector elements, and the interruption criterion. We have designed and implemented the vector quantizer to verify the improvement in reducing compression ratio in encoding processing and reducing the computation cost.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.410-413
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• 1988

In this paper, the real-time optical associative memory using multiple hologram which is generated with two angular multiplexed reference beams and Fourier transformed object beam in the $BaTiO_{3}$ crystal based on DFWM mechanism. When one image is recorded in the $BaTiO_{3}$ crystal, complete image can be recalled by 9 % partial input of the stored original image without any additional thresholding and optical feedback process. As an experimental result of multiple Fourier hologram which is recorded with two binary images, OHCHAS and PARKHK, we can obtain complete image recalled by 1/6 partial input of the stored image.

• 한국통신학회논문지
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• 제25권7A호
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• pp.1006-1016
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• 2000

본 논문은 뇌의 자기공명영상에서 백질과 회백질 및 뇌척수액을 분리하고 각각의 체적을 산철하기 위한 것이다. 본 연구는 먼저 뇌의 자기공명영상에서 영상의 배경을 제거한 후 외피 및 지방층으로부터 뇌 영역 전체를 분리하였으며, 부분체적의 문제(partial volume artifact)에 의해 명암 값의 번짐 현상을 보이는 뇌의 내부 영역에서 자기 공명영상의 생성원리를 근거로 명암 값의 산술적인 해석을 통해 원래의 단면 안에 존재하던 각 성분의 부분체적을 산출하였다. 산출된 백질과 회백질 및 뇌척수액의 부분체적은 번짐 현상을 보이는 자기공명영상에서 각 성분을 분리하기 위한 판별값을 경정하기 위해 사용되었고, 최종적으로 백질과 회백질 및 뇌척수액의 체적을 산출하도록 하였다. 본 연구는 뇌의 위축을 보이지 않는 정상인의 자기공명영상을 대상으로 하였으며, 향후 이러한 연구 결과는 알쯔하이머 병이나 뇌성마비등과 같은 퇴행성 뇌 질환 환자의 뇌 위축정도를 객관적으로 진단하는 방법으로 사용 될 수 있다.

• 제어로봇시스템학회논문지
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• 제13권9호
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• pp.868-874
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• 2007

This paper proposes an efficient partial matching system and representation by using a region-based method for 2D image, and we applied to an extraction of the ROI(Region of Interest) according to its matching score. The matching templates consist of the global pattern and the local one. The global pattern can make it by using region-based relation between center region and its rest regions in an object. And, the local pattern can be obtained appling to the same method as global, except relation between objects. As the templates can be normalized, we use this templates for extraction of ROI with invariant to size and position. And, our system operates only one try to match, due to normalizing of region size. To use our system for searching and examining if it's the ROI by evaluating the matching function, at first, we are searching to find candidate regions with the global template. Then, we try to find the ROI among the candidates, and it works this time by using the local template. We experimented to the binary and the color image respectively, they showed that the proposed system can be used efficiently for representing of the template and the useful applications, such as partially retrievals of 2D image.

• 대한의용생체공학회:의공학회지
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• 제37권2호
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• pp.84-89
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• 2016

In this study, we proposed ameliorated method for region of interest (ROI) study to improve its accuracy using partial volume effect (PVE). PVE which arose in volumetric images when more than one tissue type occur in a voxel, could be used to reduce an amount of gray matter and cerebrospinal fluid within ROI of diffusion tensor image (DTI). In order to define ROIs, individual b0 image was spatially aligned to the JHU DTI-based atlas using linear and non-linear registration (http://cmrm.med.jhmi.edu/). Fractional anisotropy (FA) and mean diffusivity (MD) maps were estimated by fitting diffusion tensor model to each image voxel, and their mean values were computed within each ROI with PVE threshold. Participants of this study consisted of 20 healthy controls, 27 Alzheimer's disease and 27 normal-pressure hydrocephalus patients. The result showed that the mean FA and MD of each ROI were increased and decreased respectively, but standard deviation was significantly decreased when PVE was applied. In conclusion, the proposed method suggested that PVE was indispensable to improve an accuracy of DTI ROI study.