• 한국과학교육학회지
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• 제16권3호
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• pp.286-294
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• 1996

In this study, the image of scientists and the self-image in terms of stereotypical masculine and feminine characteristics were investigated for 562 primary and secondary school students. The perceived differences between the image of scientists and the self-image were quantified and compared across grade levels and gender. Their relationships with science-related attitudes were also studied. The results indicated that students hold more masculine characteristics in the image of scientists and more feminine characteristics in the self-image. The perceived differences between the image of scientists and the self-image were greater for female students than male students. Female students also had more negative attitudes than male students on Career Interest in Science and Enjoyment of Science Lesson of the Test of Science-Related Attitudes. It was found that the differences between the perceived images were negatively correlated with science-related attitudes. Although the relationships were found to be statistically significant, the magnitudes were relatively small. Educational implications are discussed.

• 한국군사과학기술학회지
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• 제19권3호
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• pp.288-293
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• 2016

Electronic Image Stabilization(EIS) is widely used as a technique for correcting a shake of an image. The case requiring the EIS function has been increased in high magnification thermal image observation on portable military equipment. Projection Algorithm(PA) for EIS is easy to implement but its performance is sensitive to the projection area. Especially, projection profiles of thermal image have very modest change and are difficult to extract image shifts between frames. In this paper, we proposed algorithm to extract a feature image for the thermal image and compared Block Matching Algorithm(BMA) with PA using our proposed feature image. When using our proposed feature image, BMA was simply implemented using FPGA's internal small memory. And we were able to obtain 30 % PSNR improved results compared to PA.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1368-1370
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• 1996

The Information of Edges which takes small area comparing with the total image is very important in DNA images as well as general images. DNA image is the object should be managed by computing and it's demanding information is less than general images, but the accuracy is more important In a huge DNA image processing system such as DNA Information Bank, the performance depends on the size of image. In this paper, we extract the edge information and make it as a binary image. To reduce the size of the original image, it was applied by JPEG image compression method. The compressed image is combined with edge information when they are restored. As a result, Both the image compression ratio and restoration quality are optimized without the loss of critical information.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.3092-3107
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• 2019

Visible-infrared image fusion is a process of synthesizing an infrared image and a visible image into a fused image. This process synthesizes the complementary advantages of both images. The infrared image is able to capture a target object in dark or foggy environments. However, the utility of the infrared image is hindered by the blurry appearance of objects. On the other hand, the visible image clearly shows an object under normal lighting conditions, but it is not ideal in dark or foggy environments. In this paper, we propose a multi-guided filter and a real-time image fusion method. The proposed multi-guided filter is a modification of the guided filter for multiple guidance images. Using this filter, we propose a real-time image fusion method. The speed of the proposed fusion method is much faster than that of conventional image fusion methods. In an experiment, we compare the proposed method and the conventional methods in terms of quantity, quality, fusing speed, and flickering artifacts. The proposed method synthesizes 57.93 frames per second for an image size of $320{\times}270$. Based on our experiments, we confirmed that the proposed method is able to perform real-time processing. In addition, the proposed method synthesizes flicker-free video.

• Current Optics and Photonics
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• 제4권4호
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• pp.302-309
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• 2020

An image encryption scheme based on the quick response (QR) code as a data container has aroused wide interest due to the lossless recovery of the decrypted image. In this paper, we apply this method to multi-image encryption. However, since the decrypted image is affected by crosstalk noise, the number of multi-image encryptions is severely limited. To solve this problem, we analyzed the performance of QR code as a data container, and processed the decrypted QR code using the proposed method, so that the number of multi-image encryptions is effectively increased. Finally, we implemented a large image (256 × 256) encryption and decryption.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2004년도 학술대회지
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• pp.640-644
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• 2004

Since the existing quadtree image segmentation methods decide the presence of image information using the maximum and minimum pixel value within an image block, they are very sensitive to noise. Although many image segmentation methods have been researched up to date, they can not execute the optimum image segmentation if noise is included in an image because there is no accurate parameters which can distinguish noise. For that reason, all application using the existing quadtree segmentation has potential of decreasing in performance due to noise. This paper proposed a quadtree image segmentation based on SDT (Standard Deviation Threshold) that can effectively extract image information parameters from a noise image. This method has the advantage of distinguishing the presence of image information even if the image has noises caused by communication. Furthermore, this paper verified through test comparison that the proposed quadtree segmentation could estimate more accurate image information parameters than the existing ones even in noise-added environment.

• 대한방사선기술학회지:방사선기술과학
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• 제36권4호
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• pp.319-326
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• 2013

본 연구에서는, 흉부단순사진에 있어서 종양그림자의 검출에 대한 흑백 Inverse image과 Hybrid image의 유용성을 ROC해석으로 검토하였다. 증례의 선택은 일본방사선기술학회가 발행한 표준 Digital 영상 Date Base로부터 30장을 선택 하여 original image로 하였다. c언어를 통해 Inverse image는 60장, Hybrid image는 30장 제작하였다. 실험방법으로 연속 판독실험을 하였고, ROC실험 display program은 Matlap을 통하여 작성하였다. 관찰자의 수는 Inverse image의 경우 방사선사 5명과 방사선의 2명, 합계 7명으로 실험하였다. Hybrid 영상의 경우, 방사선 전공자 3명과 숙련된 방사선사 2명, 합계 5명으로 실험하였다. ROC곡선은 Metz가 작성한 ROCKIT Program을 이용하여 구하였다. Inverse image의 경우 관찰자 7명 전원, 방사선과의 2명, 방사선사 5명의 평균 ROC곡선의 Az는 각각 original image의 0.742, 0.793, 0.721에서, Inverse image의 0.775, 0.821, 0.753까지로, 통계적 유의차로 증가하였다. Hybrid image의 경우 관찰자 5명 전원, 숙련된 방사선사 2명, 방사선학 전공자 3명의 평균 ROC곡선의 Az는 각각 original image의 0.525, 0.491, 0.5478에서, Hybrid 영상의 0.4868, 0.539, 0.450로 변화 하였다. 결론적으로, 흉부단순사진에서 종양의 검출에 관하여, Inverse image은 유의하지만, Hybrid 영상의 경우 유의한 차이가 나타나지 않았다.

• 한국문헌정보학회지
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• 제49권4호
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• pp.99-124
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• 2015

As the improvement of digital technologies increases the use of images from various fields, the domain of image retrieval has evolved and become a growing topic of research in the Library and Information Science field. The purpose of this study is to identify the knowledge structure of the image retrieval domain by using the author co-citation analysis and author bibliographic coupling as analytical tools in order to understand the domain's past and present. The data set for this study is 245 articles with 8,031 cited articles in the field of image retrieval from 1998 to 2013, from the Web of Science citation database. According to the results of author co-citation analysis for the past of the image retrieval domain, our findings demonstrate that the intellectual structure of image retrieval in the LIS field consists of predominantly user-oriented approaches, but also includes some areas influenced by the CBIR area. More specifically, the user-oriented approach contains six specific areas which include image needs, information seeking, image needs and search behavior, image indexing and access, indexing of image collection, and web image search. On the other hand, for CBIR approaches, it contains feature-based image indexing, shape-based indexing, and IR & CBIR. The recent trends of image retrieval based on the results from author bibliographic coupling analysis show that the domain is expanding to emerging areas of medical images, multimedia, ontology- and tag-based indexing which thus reflects a new paradigm of information environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권1호
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• pp.211-227
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• 2011

Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. In this paper, we propose an image clustering system that takes a database of images as input and clusters them using k-means clustering algorithm taking into consideration color, texture and shape features. Experimental results show that the combination of the three features brings about higher values of accuracy and precision.

• 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.