• Title/Summary/Keyword: Images comparison

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Comparison of 3D Reconstruction Image and Medical Photograph of Neck Tumors (경부 종물에서 3차원 재건 영상과 적출 조직 사진의 비교)

  • Yoo, Young-Sam
    • Korean Journal of Head & Neck Oncology
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    • v.26 no.2
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    • pp.198-203
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    • 2010
  • Objectives : Getting full information from axial CT images needs experiences and knowledge. Sagittal and coronal images could give more information but we have to draw 3-dimensional images in mind with above informations. With aid of 3D reconstruction softwares, CT data are converted to visible 3D images. We tried to compare medical photographs of 15 surgical specimens from neck tumors with 3D reconstructed images of same patients. Material and Methods : Fifteen patients with neck tumors treated surgically were recruited. Medical photograph of the surgical specimens were collected for comparison. 3D reconstruction of neck CT from same patients with aid of 3D-doctor software gave 3D images of neck masses. Width and height of tumors of each photos and images from the same cases were calculated and compared statistically. Visual similarities were rated between photos and 3D images. Results : No statatistical difference were found in size between medical photos and 3D images. Visual similarity score were higher between 2 groups of images. Conclusion : 3D reconstructed images of neck mass looked alike the real photographs of excised neck mass with similar calculated sizes. It could give us reliable visual information about the mass.

Comparison of the Differences in AI-Generated Images Using Midjourney and Stable Diffusion (Midjourney와 Stable Diffusion을 이용한 AI 생성 이미지의 차이 비교)

  • Linh Bui Duong Hoai;Kang-Hee Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.563-564
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    • 2023
  • Midjourney and Stable Diffusion are two popular AI-generated image programs nowadays. With AI's outstanding image-generation capabilities, everyone can create artistic paintings in just a few minutes. Therefore, "Comparison of differences between AI-generated images using Midjourney and Stable Diffusion" will help see each program's advantages and assist the users in identifying the tool suitable for their needs.

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Comparison of JPEG and wavelet compression on intraoral digital radiographic images (구내디지털방사선영상의 JPEG와 wavelet 압축방법 비교)

  • Kim Eun-Kyung
    • Imaging Science in Dentistry
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    • v.34 no.3
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    • pp.117-122
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    • 2004
  • Purpose : To determine the proper image compression method and ratio without image quality degradation in intraoral digital radiographic images, comparing the discrete cosine transform (DCT)-based JPEG with the wavelet-based JPEG 2000 algorithm. Materials and Methods : Thirty extracted sound teeth and thirty extracted teeth with occlusal caries were used for this study. Twenty plaster blocks were made with three teeth each. They were radiographically exposed using CDR sensors (Schick Inc., Long Island, USA). Digital images were compressed to JPEG format, using Adobe Photoshop v.7.0 and JPEG 2000 format using Jasper program with compression ratios of 5 : 1,9 : 1, 14 : 1,28 : 1 each. To evaluate the lesion detectability, receiver operating characteristic (ROC) analysis was performed by the three oral and maxillofacial radiologists. To evaluate the image quality, all the compressed images were assessed subjectively using 5 grades, in comparison to the original uncompressed images. Results: Compressed images up to compression ratio of 14 : 1 in JPEG and 28 : 1 in JPEG 2000 showed nearly the same the lesion detectability as the original images. In the subjective assessment of image quality, images up to compression ratio of 9 : 1 in JPEG and 14 : 1 in JPEG 2000 showed minute mean paired differences from the original Images. Conclusion : The results showed that the clinically acceptable compression ratios were up to 9 : 1 for JPEG and 14 : 1 for JPEG 2000. The wavelet-based JPEG 2000 is a better compression method, comparing to DCT-based JPEG for intraoral digital radiographic images.

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The effect of TV media on adolescent body image (TV 미디어가 청소년의 신체이미지에 미치는 영향)

  • 김재숙;이미숙
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.5
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    • pp.957-968
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    • 2001
  • The purpose of this study was to extend the social comparison theory in an attempt to examine the effect of TV media on adolescent body images. The research was a survey and the subjects were 895 male and female adolescents in Taejon, Korea. The measuring instruments were 2 sets of stimuli of male and female body silhouettes and self-administrated questionnaire. Results were as follows: 1) The subjects TV viewing periods were 3∼4 hours per day and their involvements in TV media were moderate degree. 2) The results of perceptual body images showed that adolescent favored thin body type as an ideal body and had distorting tendency that their bodies were larger than the actual sizes. 3) The results of attitudinal body images showed three factors such as \"appearance evaluation\", \"appearance orientation\", and \"fitness orientation\". 4) TV media had significant effects on perceptual and attitudinal body images. It is concluded that the results of this study support social comparison theory that people compare themselves to others to satisfy their needs for self-evaluation and for judgments of their own personal worth since TV media give strong influence on adolescents through presenting social comparison models to body images.

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Brightness Value Comparison Between KOMPSAT-2 Images with IKONOS/GEOEYE-1 Images (KOMPSAT-2 영상과 IKONOS/GEOEYE-1 영상의 밝기값 상호비교)

  • Kim, Hye-On;Kim, Tae-Jung;Lee, Hyuk
    • Korean Journal of Remote Sensing
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    • v.28 no.2
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    • pp.181-189
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    • 2012
  • Recently, interest in potential for estimating water quality using high resolution satellite images is increasing. However, low SNR(Signal to Noise Ratio) over inland water and radiometric errors such as non-linearity of brightness value of high resolution satellite images often lead to accuracy degradation in water quality estimation. Therefore radiometric correction should be carried out to estimate water quality for high resolution satellite images. For KOMPSAT-2 images parameters for brightness value-radiance conversion are not available and precise radiometric correction is difficult. To exploit KOMPSAT-2 images for water quality monitoring, it is necessary to investigate non-linearity of brightness value and noise over inland water. In this paper, we performed brightness value comparison between KOMPSAT-2 images and IKONOS/GeoEye-1, which are known to show the linearity. We used the images obtained over the same area and on the same date for comparison. As a result, we showed that although KOMPSAT-2 images are more noisy;the trend of brightness value and pattern of noise are almost similar to reference images. The results showed that appropriate target area to minimize the impact of noise was $5{\times}5$. Non-linearity of brightness value between KOMPSAT-2 and reference images was not observed. Therefore we could conclude that KOMPSAT-2 may be used for estimation of water quality parameters such as concentration of chlorophyll.

Comparison of Brand Images Between Men′s and Women′s Wear Brands Targeting Middle Aged People or Older People (중.노년층 남성복.여성복 브랜드이미지의 특성 비교)

  • 양승진;정성지
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.6
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    • pp.1112-1121
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    • 2001
  • The purpose of the study was to investigate and make comparison of brand images of men's wear brands and women's wear brands targeting middle-aged people or older people. Thus, the study could be an exploratory study to search apparel niche-market for middle-aged or older consumers. The questionnaire consisted of questions on 28 brand image. The subjects were to evaluate their brand images and rate on 5 point Likert-type scales of 28 adjectives. Most of the subjects were designers or merchandisers who worked for men'wear brands or women's wear brands. The SPSS/WIN Program was used to calculate frequency, t-test, and cluster analysis. The results from the study were as follow : 1) The common images which men's wear brands and women's wear brands strongly pursued were prestigious, luxurious. 2) Each 37 men's wear brands and 36 women's wear brands were clustered into one groups by brand images. The common images included in first clusters of men's wear and woman's wear brands consisted of prestigious. luxurious, formal, comfort, and conservative. This market needs to be more segmented by differentiated brand images.

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Research of Active Transponder application as Ground Control Point in Synthetic Aperture Radar Images (SAR 영상 내에서 능동 트랜스폰더의 GCP 활용 여부에 관한 연구)

  • Jeong, Ho-Ryung;Oh, Tae-Bong;Park, Duk-Jong;Lee, Sun-Gu;Lim, Hyo-Suk
    • Aerospace Engineering and Technology
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    • v.11 no.2
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    • pp.164-170
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    • 2012
  • This paper presents that the comparison results of AT (Active Transponder) positions obtained from different measurements: the result of GPS device and evaluated position from the SAR (Synthetic Aperture Radar) image, and active transponders can be useful as GCPs(Ground Control Points) in SAR images. The X-band AT are installed on the wide-and-flat area to improve SCR(signal-to-clutter ration), and activated to represent impulse response function in order to operate as one point target in SAR images. Cosmo-SkyMed operating at X-band frequency are used to provide SAR images of AT. The comparison of AT position is performed by using the result of GPS device field measurement and AT SAR images. ENVI-SARscape S/W is used to evaluate AT position in the SAR images. From the comparison, it is shown that AT are useful as GCPs for SAR images.

Comparison of SAR Backscatter Coefficient and Water Indices for Flooding Detection

  • Kim, Yunjee;Lee, Moung-Jin
    • Korean Journal of Remote Sensing
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    • v.36 no.4
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    • pp.627-635
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    • 2020
  • With the increasing severity of climate change, intense torrential rains are occurring more frequently globally. Flooding due to torrential rain not only causes substantial damage directly, but also via secondary events such as landslides. Therefore, accurate and prompt flood detection is required. Because it is difficult to directly access flooded areas, previous studies have largely used satellite images. Traditionally, water indices such asthe normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) which are based on different optical bands acquired by satellites, are used to detect floods. In addition, as flooding likelihood is greatly influenced by the weather, synthetic aperture radar (SAR) images have also been used, because these are less influenced by weather conditions. In this study, we compared flood areas calculated from SAR images and water indices derived from Landsat-8 images, where the images were acquired at similar times. The flooded area was calculated from Landsat-8 and Sentinel-1 images taken between the end of May and August 2019 at Lijiazhou Island, China, which is located in the Changjiang (Yangtze) River basin and experiences annual floods. As a result, the flooded area calculated using the MNDWI was approximately 21% larger on average than that calculated using the NDWI. In a comparison of flood areas calculated using water indices and SAR intensity images, the flood areas calculated using SAR images tended to be smaller, regardless of the order in which the images were acquired. Because the images were acquired by the two satellites on different dates, we could not directly compare the accuracy of the water-index and SAR data. Nevertheless, this study demonstrates that floods can be detected using both optical and SAR satellite data.

The Effect on Socioultural Attitude toward Appearance and Body Images on Clothing Benefits Sought -the comparison of age difference in female adolescents- (외모에 대한 사회.문화적 태도와 신체이미지가 의복추구혜택에 미치는 영향 -청소년기 여학생의 연령 집단별 차이 비교-)

  • 조선명;고애란
    • Journal of the Korean Society of Clothing and Textiles
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    • v.25 no.7
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    • pp.1227-1238
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    • 2001
  • This study was based on social comparison theory, and the covariance structure model was designed, connecting sociocultural attitude, multifaceted body image, and clothing behaviour under sociocultural influence. The practical purpose of this study is to identify the effect of sociocultural attitude toward physical appearance on the affective aspect of body images, the cognitive/behavioral aspect of body images and clothing benefits sought, and to examine the age difference in the female adolescents. The results of this were as follows: 1) Sociocultural attitude toward physical appearance had a negative effect directly on the affective aspect of body images, and showed the highest value in the group of high school girls 2) Sociocultural attitude toward physical appearance had a positive influence directly on the cognitive/behavioral aspect of body images, and high school girls'model showed the highest values significantly as well 3) High school girls'model showed the highest value significantly in the effect of the affective aspect of body images on the cognitive/behavioral aspect of body images. However, college group's model didn's show significant value 4) Middle school girls'model showed higher value positively than the other groups in the effect of the cognitive/behavioral aspect of body images on clothing benefits sought, and the high school girls' model showed higher value negatively in the effect of the affective aspect of body images on clothing benefits sought.

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A Study on the Attributes Classification of Agricultural Land Based on Deep Learning Comparison of Accuracy between TIF Image and ECW Image (딥러닝 기반 농경지 속성분류를 위한 TIF 이미지와 ECW 이미지 간 정확도 비교 연구)

  • Kim, Ji Young;Wee, Seong Seung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.65 no.6
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    • pp.15-22
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    • 2023
  • In this study, We conduct a comparative study of deep learning-based classification of agricultural field attributes using Tagged Image File (TIF) and Enhanced Compression Wavelet (ECW) images. The goal is to interpret and classify the attributes of agricultural fields by analyzing the differences between these two image formats. "FarmMap," initiated by the Ministry of Agriculture, Food and Rural Affairs in 2014, serves as the first digital map of agricultural land in South Korea. It comprises attributes such as paddy, field, orchard, agricultural facility and ginseng cultivation areas. For the purpose of comparing deep learning-based agricultural attribute classification, we consider the location and class information of objects, as well as the attribute information of FarmMap. We utilize the ResNet-50 instance segmentation model, which is suitable for this task, to conduct simulated experiments. The comparison of agricultural attribute classification between the two images is measured in terms of accuracy. The experimental results indicate that the accuracy of TIF images is 90.44%, while that of ECW images is 91.72%. The ECW image model demonstrates approximately 1.28% higher accuracy. However, statistical validation, specifically Wilcoxon rank-sum tests, did not reveal a significant difference in accuracy between the two images.