• Journal of Korea Multimedia Society
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• v.20 no.7
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• pp.994-1003
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• 2017

Ground-glass opacity nodules(GGNs) in chest CT images are associated with lung cancer, and have a different malignant rate depending on existence of solid component in the nodules. In this paper, we propose a method to classify pure GGNs and part-solid GGNs using multiview images and texture analysis in pulmonary GGNs with solid components of 5mm or smaller. We extracted 1521 features from the GGNs segmented from the chest CT images and classified the GGNs using a SVM classification model with selected features that classify pure GGNs and part-solid GGNs through a feature selection method. Our method showed 85% accuracy using the SVM classifier with the top 10 features selected in the multiview images.

• Journal of Korea Multimedia Society
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• v.19 no.4
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• pp.736-746
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• 2016

In this paper, we propose an automatic prostate cancer detection method using position, signal intensity and texture feature based on SVM in multi-parametric MR images. First, to align the prostate on DWI and ADC map to T2wMR, the transformation parameters of DWI are estimated by normalized mutual information-based rigid registration. Then, to normalize the signal intensity range among inter-patient images, histogram stretching is performed. Second, to detect prostate cancer areas in T2wMR, SVM classification with position, signal intensity and texture features was performed on T2wMR, DWI and ADC map. Our feature classification using multi-parametric MR imaging can improve the prostate cancer detection rate on T2wMR.

• Journal of Advanced Navigation Technology
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• v.10 no.4
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• pp.364-370
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• 2006

In this paper, the decision method of optimal sub-band which is supposed to embedded watermark incorporating fuzzy inference into transform-based watermarking is proposed. After performing the DCT, maximum variation of human visual properties, such as text degree, contrast sensitivity function is calculated, and by using these, membership function is generated. After embedding the watermark to the selected bands obtained from fuzzy inference, performance of imperceptibility and robustness are evaluated. In order to testify the proposed scheme, such attacks as JPEG, filtering, cropping are utilized. and in addition, by using an AWGN channel of OFDM/QPSK system, PSNR as well as correlation are calculated, and finally evaluated the performance.

• Journal of KIISE:Databases
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• v.30 no.2
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• pp.145-156
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• 2003

Most of the content-based image retrieval systems focuses on similarity-based retrieval of natural picture images by utilizing color. shape, and texture features. For the neuroscience image databases, we found that retrieving similar images based on global average features is meaningless to pathological researchers. To realize the practical content-based retrieval on images in neuroscience databases, it is essential to represent internal contents or semantics of images in detail. In this paper, we present how to represent image contents and their related concepts to support more useful retrieval on such images. We also describe the operational semantics to support these advanced retrievals by using object-oriented message path expressions. Our schemes are flexible and extensible, enabling users to incrementally add more semantics on image contents for more enhanced content searching.

• Smart Media Journal
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• v.1 no.3
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• pp.22-28
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• 2012

As the smart media becomes more popular, the demand for high-quality 3D images and depth maps is increasing. However, performance of the current technologies to acquire depth maps is not sufficient. The depth maps from stereo matching methods have low accuracy in homogeneous regions. The depth maps from depth cameras are noisy and have low-resolution due to technical limitations. In this paper, we introduce the state-of-the-art algorithms for depth map enhancement and up-sampling from conventional methods using only depth maps to the latest algorithms referring to both depth maps and their corresponding color images. We also present depth map enhancement algorithms for hybrid camera systems in detail.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3333-3340
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• 2000

Recently, Requnremeni for video data have been increased rapidly by high progress of both hardware and cornpression technique. Because digital video data are unformed and mass capacity, it needs various retrieval techniquesjust as contednt-based rehieval Superimposed-caption ina digital video can help us to analyze the video story easier and be used as indexing information for many retrieval techniques In this research we propose a new method that segments the caption as analyzing texture eature of caption regions in each video frame, and that extracts the accurate scope of superimposed-caption frame and its key regions and color by measunng cominuity of caption regions between frames

• Spatial Information Research
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• v.21 no.6
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• pp.1-9
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• 2013

Recently, Construction information is being changed from CAD to BIM, and GIS is extending from outdoor to indoor information. In these circumstances, the needs of continuous use of construction information linked with GIS are growing constantly in stages of maintenance, operation and service as well as planning, design and construction. To this end, it is essential element to represent 3-dimensional large object efficiently in establishing BIM-GIS interoperability platform by combination of construction and spatial information. In this study, we design spatial data LOD for making spatial object and texture by level, and develop weight lightening algorithm of large spatial object.

• Journal of the East Asian Society of Dietary Life
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• v.6 no.1
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• pp.69-76
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• 1996

This study examined the distinctive character and level of preference of SsookGae-Dduck which was produced with making 2, 3, 4, 5% of difference, adding 30% mugwort. In the sensory evaluation for SsookGae-Dduck, the bitterness, hardness and flavor were highly evaluated as the amount of mugwort powder was increasing. The sweetness and color showed the highest number in the adding group of 2% mugwort powder. In the being moistness degree, the 30% adding group of mugwort was the highest one, and 3% adding group in the mugwort powder. And the chewiness was highly marked in the adding group of 30% mugwort, and 5% adding group was highly marked in the mugwort powder. In the mechanical evaluation of SsookGae-Dduck, the hardness and adhesiveness were highly marked in the adding group of 5% mugwort powder, the adding group of 4% showed the highest number in the springiness, cohesiveness, gumminess and chewiness. Through these all studies, the mugwort powder should be used in the multi way of our food life and it was really necessary to be studies and to be taken interest in this area constantly.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.63-66
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• 2015

3차원 영상을 생성하기 위해 스테레오 매칭을 통해 깊이 정보를 획득한다. 이때 발생하는 경계영역과 텍스처가 부족한 부분의 깊이정보 부정확성 문제를 해결하기 위해 영상 분할 기반 스테레오 매칭 방법을 제안한다. 일반적으로 사용하는 윈도우 기반 스테레오 매칭 결과를 기반으로 분할된 영상 내에서 최적의 변위 값을 재 할당함으로서 깊이정보의 정확성을 향상시킬 수 있다. Mean-shift는 참조 영상에서 화소 간 평균값 차이가 최대가 되는 영역들을 반복적으로 찾는다. 유사한 평균값을 갖는 영역들을 기반으로 영상을 분할하는 것을 Mean-shift를 이용한 영상분할 이라고 한다. 분할된 영상은 각 영역을 대표하는 패치 구조를 가지고 있어 참조 영상에 포함되어있는 잡음에 강인한 특성을 지닌다. 스테레오 매칭을 통해 화소별로 변위 값을 할당해주는 대신, 분할된 영상을 이용하여 각 분할 영역에 동일한 변위 값을 할당한다. 분할된 영상에 동일한 변위 정보를 할당할 경우 객체와 배경의 경계영역에서 잘못된 변위 값이 할당되는 경우가 발생한다. 이러한 경계 영역의 변위정보 부정확성을 보완하기 위해 화소의 기울기 항을 비용 값 계산 과정에 추가하여 단점을 보완한다. 최종 비용 값 계산을 통해 획득한 초기 변위 지도에 중간 값 필터를 적용하여 분류된 영역에 동일한 변위 값을 할당한다. 제안한 방법을 적용하여 경계영역의 정확도가 향상된 최종 변위 지도를 획득한다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2016.11a
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• pp.92-93
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• 2016

정확한 변위정보를 추정하기 위해 다양한 비용 값 계산함수 또는 비용 값 합산 방법들이 개발되었다. 본 논문에서는 비용 값 계산을 위해 좌, 우영상의 기울기와 SAD(Sum of Absolute Differences)를 이용하며 비용 값 합산을 위해 가이드 영상 필터링을 사용한다. 가이드 영상 필터링은 가이드 영상의 종류에 따라 필터링결과가 크게 변하게 되는데, 스테레오 정합에 사용된 원본 입력 영상을 가이드 영상으로 사용할 경우 정확한 화소 값을 가지고 있기 때문에 경계영역을 보존하며 필터링 수행이 가능하다. 하지만 가이드 필터링은 가이드 영상으로부터 미리 지정해준 이웃한 화소와의 거리와 색상차이의 분산 값만을 고려하여 필터링을 수행하기 때문에 설정 변수 값에 매우 의존적인 특성을 갖는다. 가이드 필터링 과정에서 변수에 대한 의존성을 낮추고 경계영역의 정확도를 높이기 위해 우선 평활화 필터를 이용하여 경계영역을 추출한다. 원본 입력영상을 사용하여 경계영역을 추출할 경우 객체 내부의 많은 텍스처 영역의 정보까지 추출되지만, 평활화 필터를 이용할 경우 정확한 경계 영역의 정보만을 추출 할 수 있다. 추출된 경계영역에 대해서만 높은 가중치를 사용한 뒤 기존의 가이드 영상 필터링과 혼합하여 최종 비용 값을 합산한다. 제안한 방법을 사용하여 경계영역의 정확도가 향상된 최종 변위 지도를 획득할 수 있었다.