• Title/Summary/Keyword: Comparison of images

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Comparison of panoramic radiography and cone-beam computed tomography for assessing radiographic signs indicating root protrusion into the maxillary sinus

  • Jung, Yun-Hoa;Cho, Bong-Hae;Hwang, Jae Joon
    • Imaging Science in Dentistry
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    • v.50 no.4
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    • pp.309-318
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    • 2020
  • Purpose: This study investigated correlations between findings on panoramic radiographs and cone-beam computed tomography (CBCT) to assess the relationship between the maxillary sinus floor and the roots of maxillary posterior teeth. In addition, radiographic signs indicating actual root protrusion into the maxillary sinus were evaluated on panoramic radiographs. Materials and Methods: Paired panoramic radiographs and CBCT images from 305 subjects were analyzed. This analysis classified 2,440 maxillary premolars and molars according to their relationship with the maxillary sinus floor on panoramic radiographs and CBCT images. In addition, interruption of the sinus floor was examined on panoramic radiographs. Results: Root protrusion into the maxillary sinus occurred most frequently in the mesiobuccal roots of the second molars. The classification according to panoramic radiographs and CBCT images was the same in more than 90% of cases when there was no contact between the root apex and the sinus floor. When the panoramic radiograph showed root protrusion into the sinus, the CBCT images showed the same classification in 67.5% of second molars, 48.8% of first molars, and 53.3% of second premolars. There was a statistically significant relationship between interruption of the sinus floor on panoramic radiographs and root protrusion into the sinus on CBCT images. Conclusion: The presence of root protrusion into the sinus on panoramic radiographs demonstrated a moderate ability to predict root protrusion into the maxillary sinus. Interruption of the maxillary sinus floor could be considered an indicator of actual root protrusion into the maxillary sinus.

Analysis and Comparison of MR Signal Strength and SNR Value for Optimal FOV (최적의 FOV를 위한 MR신호강도와 신호 대 잡음비 값의 비교분석)

  • Lee, Sang-Ho
    • Journal of radiological science and technology
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    • v.41 no.2
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    • pp.109-113
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    • 2018
  • Despite the continuous development of software, it is continuously pursued to enlarge the examination area of FOV in order to reduce the factors of inconsistency in images that appear in continuous examination during wide area examination using contrast agent such as whole body angiography. In this study, we investigated the optimal FOV by comparing the SNR values according to the changes of FOV. The change of the FOV was gradually changed to $270{\times}200$, $300{\times}223$, $330{\times}244$, $360{\times}266$ and $380{\times}281$. SE images at TR 450 msec and TE 10 msec, FSE images at TR 2,000 msec, TE 80 msec, and GE images were scanned at TR 117 msec, and TE 16 msec. SNR values were calculated from the mean values of signal intensities of five phantom images and the signal intensity values of four background standard deviations. As a result of the study, the signal intensity and the SNR value according to the change of the FOV value gradually increased as the FOV was increased, but it was found that the SNR value decreased at a constant size. In conclusion, the results are different from previous studies that the SNR increases as the FOV increases. The cause of these results could not be confirmed. However methods that can be imaged and included within the effective FOV should be considered.

The Study on Creative Tutoring Service Design to Improve Self-presentation and Learning Abilities for Kids Focusing on Visual Association and Storytelling

  • Lee, Dong-Min;Park, Hye-Jung;Cho, Sung-Bae
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.1
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    • pp.117-124
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    • 2012
  • Objective: The goal of this study is to design a creative tutoring service, which helps children gain confidence and creativity through learning activities. Background: Nowadays most kids are growing up in a very competitive environment under their parents' zeal for education. A stressful environment can deter a child from the confident undertaking of challenges, leading to depression, anxiety, and feelings of inadequacy. Art therapy helps children work through these issues, however the process led by instructors or parents, and kids still feel anxious studying adults' face to read their thought. Method: To help children address challenges, a creative tutoring service application can provide images with certain tasks instead of asking them to fill in blank areas. The tasks asked by the service system are 1) to visualize children's own experience utilizing visually associated images from given images and 2) to create an illustrated story modifying and re-composing given images. Another task is to learn basic math and words with numbers and alphabets in customized colors. By completing each task children collect awards, which allow them graduate to higher levels of challenges. The outcomes from the tasks are sent to the main server system and reviewed by analysts. Those results are sent to children's parents as a text message on smart phone. Results: Visual implication using images inspires children to make creative stories based on their own experience. Also, children can find their own patterns of reaching answers by using synaesthetic imagery through repetitive practices of creative thinking tasks. Conclusion: Understanding how they feel about doing tasks in certain environments and assessing them in varied situations should be carefully considered when designers approach service design for kids. By focusing on how to tutor children in creative ways, as opposed to focusing on the expected outcome, creative service applications can be designed to reduce children's stress and encourage self expression. Children are predicted to gain confidence through using the service without the concern of comparison by others. Application: The creative tutoring service needs to be developed and tested by varying types of children.

Correlation Analysis on the Water Depth and Peak Data Value of Hyperspectral Imagery (초분광 영상의 최대 강도값과 하천 수심의 상관성 분석)

  • Kang, Joongu;Lee, Changhun;Yeo, Hongkoo;Kim, Jongtae
    • Ecology and Resilient Infrastructure
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    • v.6 no.3
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    • pp.171-177
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    • 2019
  • The hyperspectral images can be analyzed in more detail compared to the conventional multispectral images so they can be used for analyzing surface properties which are difficult to detect. Therefore, the purpose of this study is to obtain information on river environment by using actual depth data and drone-based images. For this purpose, this study acquired the image values for 100 points of 1 survey line using drone-based hyperspectral sensors and analyzed the correlation in comparison with the actual depth information obtained through ADCP. The ADCP measurements showed that the depth tended to get deeper toward the center and that the average water depth was 0.81 m. As a result of analyzing the hyperspectral images, the value of maximum intensity was 645 and the value of minimum intensity was 278, and the correlation between the actual depth and the results of analyzing the hyperspectral images showed that the depth increased as the value of maximum intensity decreased.

Reaction Pattern Influenced by Relative Values in the Evaluation of Preference for Image (이미지에 대한 선호도 평가에 있어 상대가치 작용 반응 패턴)

  • Heo, Seong-Cheol
    • Science of Emotion and Sensibility
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    • v.17 no.4
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    • pp.41-50
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    • 2014
  • This study examined the characteristics of brain's reaction pattern concerning the preference for product images and compared them with the result of subjects' intuitive evaluation of their preference for the same materials. Two tests were conducted; the first one that calculated comfort properties based on brainwave measurements in order to examine the impression given by the images of products presented separately, one-by-one, and the second one that had subjects evaluate the preference directly by comparing the images of all products simultaneously. The first test was titled 'Independent Cognitive Response' and the second test, 'Relative Cognitive Response', and their characteristics were as follows. In the 'Independent Cognitive Response', the state of emotion was expressed in absolute values based on the comparison with the information accumulated through the subject's own experience and the feeling expressed as 'pleasant' or 'unpleasant' persisted as absolute values. In the 'Relative Cognitive Response', the state of emotion relative to the information of other images compared in the stage of perceiving the images was expressed, and in this case, the state of emotion described as 'calm' or 'excited' acted as relative values.

An Identification Method of Detrimental Video Images Using Color Space Features (컬러공간 특성을 이용한 유해 동영상 식별방법에 관한 연구)

  • Kim, Soung-Gyun;Kim, Chang-Geun;Jeong, Dae-Yul
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.6
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    • pp.2807-2814
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    • 2011
  • This paper proposes an identification algorithm that detects detrimental digital video contents based on the color space features. In this paper, discrimination algorithm based on a 2-Dimensional Projection Maps is suggested to find targeted video images. First, 2-Dimensional Projection Maps which is extracting the color characteristics of the video images is applied to extract effectively detrimental candidate frames from the videos, and next estimates similarity between the extracted frames and normative images using the suggested algorithm. Then the detrimental candidate frames are selected from the result of similarity evaluation test which uses critical value. In our experimental test, it is suggested that the results of the comparison between the Color Histogram and the 2-Dimensional Projection Maps technique to detect detrimental candidate frames. Through the various experimental data to test the suggested method and the similarity algorithm, detecting method based on the 2-Dimensional Projection Maps show more superior performance than using the Color Histogram technique in calculation speed and identification abilities searching target video images.

Analysis of Image Integration Methods for Applying of Multiresolution Satellite Images (다중 위성영상 활용을 위한 영상 통합 기법 분석)

  • Lee Jee Kee;Han Dong Seok
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.22 no.4
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    • pp.359-365
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    • 2004
  • Data integration techniques are becoming increasing1y important for conquering a limitation with a single data. Image fusion which improves the spatial and spectral resolution from a set of images with difffrent spatial and spectral resolutions, and image registration which matches two images so that corresponding coordinate points in the two images correspond to the same physical region of the scene being imaged have been researched. In this paper, we compared with six image fusion methods(Brovey, IHS, PCA, HPF, CN, and MWD) with panchromatic and multispectral images of IKONOS and developed the registration method for applying to SPOT-5 satellite image and RADARSAT SAR satellite image. As the result of tests on image fusion and image registration, we could find that MWD and HPF methods showed the good result in term of visual comparison analysis and statistical analysis. And we could extract patches which depict detailed topographic information from SPOT-5 and RADARSAT and obtain encouraging results in image registration.

Objective Quality Assessment Method for Stitched Images (스티칭 영상의 객관적 영상화질의 평가 방법)

  • Billah, Meer Sadeq;Ahn, Heejune
    • Journal of Broadcast Engineering
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    • v.23 no.2
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    • pp.227-234
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    • 2018
  • Recently, stitching techniques are used for obtaining wide FOV, e.g., panorama contents, from normal cameras. Despite many proposed algorithms, the no objective quality evaluation method is developed, so the comparison of algorithms are performed only in subjective way. The paper proposes a 'Delaunay-triangulation based objective assessment method' for evaluating the geometric and photometric distortions of stitched or warped images. The reference and target images are segmented by Delaunay-triangulation based on matched points between two images, the average Euclidian distance is used for geometric distortion measure, and the average or histogram of PSNR for photometric measure. We shows preliminary results with several test images and stitching methods for demonstrate the benefits and application.

Classification of Trucks using Convolutional Neural Network (합성곱 신경망을 사용한 화물차의 차종분류)

  • Lee, Dong-Gyu
    • Journal of Convergence for Information Technology
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    • v.8 no.6
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    • pp.375-380
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    • 2018
  • This paper proposes a classification method using the Convolutional Neural Network(CNN) which can obtain the type of trucks from the input image without the feature extraction step. To automatically classify vehicle images according to the type of truck cargo box, the top view images of the vehicle are used as input image and we design the structure of the CNN suitable for the input images. Learning images and correct output results is generated and the weights of neural network are obtained through the learning process. The actual image is input to the CNN and the output of the CNN is calculated. The classification performance is evaluated through comparison CNN output with actual vehicle types. Experimental results show that vehicle images could be classified with more than 90 percent accuracy according to the type of cargo box and this method can be used for pre-classification for inspecting loading defect.

Comparison of panoramic radiography with cone beam CT in predicting the relationship of the mandibular third molar roots to the alveolar canal

  • Shahidi, Shoaleh;Zamiri, Barbod;Bronoosh, Pegah
    • Imaging Science in Dentistry
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    • v.43 no.2
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    • pp.105-109
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    • 2013
  • Purpose: Preoperative radiographic assessment of the mandibular third molars is essential to prevent inferior alveolar nerve damage during extraction. The purpose of this study was to assess the reliability of panoramic signs of association between the roots of teeth and the canal, and to compare the panoramic signs with cone beam computed tomography (CBCT) findings. Materials and Methods: CBCT images of 132 impacted mandibular third molars were evaluated to determine the association of the root to the canal. The CBCT findings were compared with the corresponding panoramic images. Logistic regression analysis was used to define the diagnostic criteria of the panoramic images. Results: Among the panoramic signs, loss of the cortical line was the most frequent radiographic sign predicting association (sensitivity: 79.31). Contact of the tooth with the canal was observed in all cases in which the loss of cortical line of the canal or darkening of the roots was found on the panoramic radiographs. Conclusion: Darkening of the roots and loss of the cortical line on panoramic radiographs might be highly suggestive of the risk of nerve injury.