• 제목/요약/키워드: evaluate a image

검색결과 2,306건 처리시간 0.033초

The role of corporate image and privacy concerns in adopting online travel services

  • Tapanainen, Tommi;Nguyen, Thi Thanh Hai;Dao, Kien Trung
    • 한국정보시스템학회지:정보시스템연구
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    • 제28권3호
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    • pp.1-23
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    • 2019
  • Purpose This study examines the role of corporate image and privacy concerns in intention to use of online travel services using data from Vietnam. Design/methodology/approach The data collection was implemented to a student sample at the Foreign Trade University in Hanoi, which has a high concentration of young people who are interested in online travel in Vietnam. The paper based questionnaire was directly delivered to the respondents. After sorting to eliminate unfit samples, the number of responses was 541, which exceeds 500, the minimum number typically required. To test the hypotheses, we applied structural equation modeling (SEM) and Confirmatory Factor Analysis (CFA) was used to evaluate the reliability and validity of constructs in the model. We also used direct, indirect and total effect coefficient to evaluate the total impact of factors on the intention to use online services. Findings This study found that corporate image is positively associated to intention to use online services. It found a link between corporate image and privacy concerns, which suggests another way for firms to address their customers' privacy concerns; corporate image, which has received great attention in traditional offline sales channels, but not in online services, should receive higher attention in IS research. Online travel businesses, besides increasing ease of use, perceived usefulness and trust in their services, should focus on build a reliable corporate image, which can not only promote the service use but also help to eliminate users' the privacy concerns.

Fusion Techniques Comparison of GeoEye-1 Imagery

  • Kim, Yong-Hyun;Kim, Yong-Il;Kim, Youn-Soo
    • 대한원격탐사학회지
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    • 제25권6호
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    • pp.517-529
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    • 2009
  • Many satellite image fusion techniques have been developed in order to produce a high resolution multispectral (MS) image by combining a high resolution panchromatic (PAN) image and a low resolution MS image. Heretofore, most high resolution image fusion techniques have used IKONOS and QuickBird images. Recently, GeoEye-1, offering the highest resolution of any commercial imaging system, was launched. In this study, we have experimented with GeoEye-1 images in order to evaluate which fusion algorithms are suitable for these images. This paper presents compares and evaluates the efficiency of five image fusion techniques, the $\grave{a}$ trous algorithm based additive wavelet transformation (AWT) fusion techniques, the Principal Component analysis (PCA) fusion technique, Gram-Schmidt (GS) spectral sharpening, Pansharp, and the Smoothing Filter based Intensity Modulation (SFIM) fusion technique, for the fusion of a GeoEye-1 image. The results of the experiment show that the AWT fusion techniques maintain more spatial detail of the PAN image and spectral information of the MS image than other image fusion techniques. Also, the Pansharp technique maintains information of the original PAN and MS images as well as the AWT fusion technique.

화상처리를 이용한 방전와이어의 성능평가에 대한 연구 (A Study on the efficiency test of Electric Discharge Machine Wire using Image processing)

  • 배진한;이위로;유송민
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 추계학술대회 논문집
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    • pp.117-122
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    • 2002
  • Electrical discharge machining uses thermal energy from electrical discharge, while wire electrical discharge machining (WEDM) technology is widely used in conductive material machining. This paper proposes a method for evaluating the characteristics of wires in WEDM. In order to evaluate the wire processing performance, processing speed and roughness, straightness, corner processing have been assessed with precision experiment equipment and image processing including Laplacian filtering with various threshold levels.

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Kobayashi 스케일과 I.R.I 스케일을 사용한 LED 광색의 형용사 이미지 분석 (The Analysis of Emotion Adjective for LED Light Colors by using Kobayashi scale and I.R.I scale)

  • 백창환;박승옥;김홍석
    • 조명전기설비학회논문지
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    • 제25권10호
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    • pp.1-13
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    • 2011
  • The aim of this study is to analyze the emotion adjectives for light emitting diode(LED) light colors using a twofold adjective image scales from Kobayashi and I.R.I. A set of psychophysical experiments using category judgment was conducted in an LED light color simulation system, in order to evaluate each emotion scale coordinate for those test light colors in both adjective image scales. In total, 49 test light colors from a combination of 6 color series were assessed by 15 human observers. As a result, Kobayashi adjective image scale clearly expressed to emotion adjectives of 'Dynamic', 'Casual', 'Chic', 'Cool-casual', 'Modern', and 'Natural' for different hues. In contrast, I.R.I adjective image scale expressed only 2 adjectives of 'dynamic' and 'luxurious' for the all hues.

A Bilateral Filtering Based Ringing Elimination Approach for Motion-blurred Restoration Image

  • Wang, Weiqing;Wang, Weihua;Yin, Jiao
    • Current Optics and Photonics
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    • 제4권3호
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    • pp.200-209
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    • 2020
  • We describe an approach that uses a bilateral filter to reduce the ringing artifact in motion-blurred restoration image. It takes into account the specific physical structure of the ringing artifact combined with the properties of the human visual system. To properly reduce the ringing artifact, each of the adjacent pixels is limited in a straight line which has a given direction. To protect the edges and the texture regions of an image, our algorithm divides the image into texture regions and flat regions, and the artifact reduction algorithm is only applied to the flat region. Finally, we use 8 typical images and 5 objective quality evaluation indices to evaluate our algorithm. Experimental results show that our algorithm can obtain better results in subjective visual effect and in objective image quality evaluation.

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

  • 김은경
    • Imaging Science in Dentistry
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    • 제34권3호
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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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고해상도 SAR와 광학영상의 고주파 정보를 이용한 다중센서 융합 (Image Fusion of High Resolution SAR and Optical Image Using High Frequency Information)

  • 변영기;채태병
    • 한국측량학회지
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    • 제30권1호
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    • pp.75-86
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    • 2012
  • SAR는 기상상태와 태양고도 제약을 받지 않고 영상을 취득할 수 있는 장점을 갖지만 광학영상에 비해 시각적 가독성이 떨어지는 단점을 갖는다. 광학영상의 다중분광정보를 융합하여 SAR 영상의 가독성을 향상시키기 위한 다중센서 융합기술에 대한 관심이 증대되고 있다. 본 연구에서는 고속 퓨리에 변환을 통한 고주파 정보 추출 및 이상치 제거과정을 통해 SAR 영상의 공간적 세밀함과 다중분광영상의 분광정보를 유지할 수 있는 새로운 다중센서 융합기술을 제안하였다. 실험데이터로는 KOMPSAT-5호와 동일한 고해상도 X-band SAR 시스템을 장착한 TerraSAR-X 영상과 KOMPSAT-2호의 다중분광영상을 사용하였다. 제안기법의 효용성을 평가하기 위해 기존에 위성영상융합에 많이 사용된 융합기법과의 시각적/정량적 비교평가를 수행하였다. 실험 결과 기존 영상융합알고리즘에 비해 분광정보 보존측면에서 보다 향상된 결과를 보임을 확인할 수 있었다.

근골격계 부하 평가를 위한 2차원 자세 측정 시스템 개발 (Development of a 2D Posture Measurement System to Evaluate Musculoskeletal Workload)

  • 박성준;박재규;최재호
    • 대한인간공학회지
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    • 제24권3호
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    • pp.43-52
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    • 2005
  • A two-dimensional posture measurement system was developed to evaluate the risks of work-related musculoskeletal disorders(MSDs) easily on various conditions of work. The posture measurement system is an essential tool to analyze the workload for preventing work-related musculoskeletal disorders. Although several posture measurement systems have been developed for workload assessment, some restrictions in industry still exist because of its difficulty on measuring work postures. In this study, an image recognition algorithm was developed based on a neural network method to measure work posture. Each joint angle of human body was automatically measured from the recognized images through the algorithm, and the measurement system makes it possible to evaluate the risks of work-related musculoskeletal disorders easily on various working conditions. The validation test on upper body postures was carried out to examine the accuracy of the measured joint angle data from the system, and the results showed good measuring performance for each joint angle. The differences between the joint angles measured directly and the angles measured by posture measurement software were not statistically significant. It is expected that the result help to properly estimate physical workload and can be used as a postural analysis system to evaluate the risk of work-related musculoskeletal disorders in industry.

The Parameter Learning Method for Similar Image Rating Using Pulse Coupled Neural Network

  • Matsushima, Hiroki;Kurokawa, Hiroaki
    • Journal of Multimedia Information System
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    • 제3권4호
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    • pp.155-160
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    • 2016
  • The Pulse Coupled Neural Network (PCNN) is a kind of neural network models that consists of spiking neurons and local connections. The PCNN was originally proposed as a model that can reproduce the synchronous phenomena of the neurons in the cat visual cortex. Recently, the PCNN has been applied to the various image processing applications, e.g., image segmentation, edge detection, pattern recognition, and so on. The method for the image matching using the PCNN had been proposed as one of the valuable applications of the PCNN. In this method, the Genetic Algorithm is applied to the PCNN parameter learning for the image matching. In this study, we propose the method of the similar image rating using the PCNN. In our method, the Genetic Algorithm based method is applied to the parameter learning of the PCNN. We show the performance of our method by simulations. From the simulation results, we evaluate the efficiency and the general versatility of our parameter learning method.

2단계 스테레오 정합기법을 이용한 DEM 추정 (DEM Estimation Using Two Stage Stereo Matching Method)

  • 남창우;우동민
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.3044-3046
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    • 2000
  • A Stereo matching has been an important tool for reconstructing three dimensional terrain. In this stereo matching process, DEM(Digitai Elevation Map) can be generated by the disparity from reference image to target image. Generally disparity map in matching process can be implemented by wraping from reference image to target image and if the role of reference and target is interchanged, the different DEM can be obtained. To evaluate the generated DEM from matching process, We adapted the Photorealistic synthetic image generator using ray tracing technique. The generator produce two simulated image from previous DEM and Ortho-image which is regard as Ground-truth. In this paper, we are concern about estimating more accurate DEM from these two DEMs. The several fusion methods of two DEMs are proposed to generate accurate DEM and compared with previous method. one of fusion methods is by using Cross-Correlation match score and the true DEM should have a high matching score.

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