• Title/Summary/Keyword: Image convergence

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Broken Detection of the Traffic Sign by using the Location Histogram Matching

  • Yang, Liu;Lee, Suk-Hwan;Kwon, Seong-Geun;Moon, Kwang-Seok;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.15 no.3
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    • pp.312-322
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    • 2012
  • The paper presents an approach for recognizing the broken area of the traffic signs. The method is based on the Recognition System for Traffic Signs (RSTS). This paper describes an approach to using the location histogram matching for the broken traffic signs recognition, after the general process of the image detection and image categorization. The recognition proceeds by using the SIFT matching to adjust the acquired image to a standard position, then the histogram bin will be compared preprocessed image with reference image, and finally output the location and percents value of the broken area. And between the processing, some preprocessing like the blurring is added in the paper to improve the performance. And after the reorganization, the program can operate with the GPS for traffic signs maintenance. Experimental results verified that our scheme have a relatively high recognition rate and a good performance in general situation.

The Effect of Brand Trust of Home Meal Replacement on Repurchasing in Online Shopping

  • CHA, Seong-Soo;SEO, Bo-Kyung
    • Asian Journal of Business Environment
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    • v.9 no.3
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    • pp.21-26
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    • 2019
  • Purpose - This study aims to investigate the effect of brand image and trust of a home meal replacement (HMR) industry on customer satisfaction and repurchase during online shopping. Research design, data, and methodology - With 217 questionnaires, this study was conducted by AMOS 20.0, and the Structural Equation Model (SEM) as statistical method was used for examining the hypotheses in this study. Factors such as brand image and brand trust in customer shopping for HMR products online were tested, and relationships between satisfaction and repurchase were studied. Results - Brand image and brand trust in terms of online shopping for HMR were found to affect satisfaction significantly; in addition, the path where satisfaction leads to repurchase was found to be significant. However, brand image and brand trust for HMR in online shopping differed depending on customer age groups. The path-coefficients from brand image of HMR in online shopping to satisfaction were more significant in the older age group; meanwhile, the path-coefficient from brand trust to satisfaction was significant in the younger age group. Conclusions - Results of the study suggested the importance of the attributes for buying HMR products online and provided meaningful implications of difference between age groups when they choose the products.

Fast image stitching method for handling dynamic object problems in Panoramic Images

  • Abdukholikov, Murodjon;Whangbo, Taegkeun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.11
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    • pp.5419-5435
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    • 2017
  • The construction of panoramic images on smartphones and low-powered devices is a challenging task. In this paper, we propose a new approach for smoothly stitching images on mobile phones in the presence of moving objects in the scene. Our main contributions include handling moving object problems, reducing processing time, and generating rectangular panoramic images. First, unique and robust feature points are extracted using fast ORB method and a feature matching technique is applied to match the extracted feature points. After obtaining good matched feature points, we employ the non-deterministic RANSAC algorithm to discard wrong matches, and the hommography transformation matrix parameters are estimated with the algorithm. Afterward, we determine precise overlap regions of neighboring images and calculate their absolute differences. Then, thresholding operation and noise removal filtering are applied to create a mask of possible moving object regions. Sequentially, an optimal seam is estimated using dynamic programming algorithm, and a combination of linear blending with the mask information is applied to avoid seam transition and ghosting artifacts. Finally, image-cropping operation is utilized to obtain a rectangular boundary image from the stitched image. Experiments demonstrate that our method is able to produce panoramic images quickly despite the existence of moving objects.

An Advanced Watermarking Algorithm with Reversibility (개선된 가역 워터마킹 알고리즘)

  • Jung, Soo-Mok
    • Journal of the Korea Convergence Society
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    • v.9 no.2
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    • pp.151-156
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    • 2018
  • In this paper, an efficient reversible watermarking algorithm is proposed. By using the proposed algorithm, it is possible to increase the amount of copyright-related information to be embedded in cover image. Depending on the spatial locality and surface characteristics, it is possible to precisely predict the pixel value using neighboring pixels. If the predicted pixel value almost the same as the pixel value of the cover image, the differential value between the predicted pixel value and the pixel value of cover image is very small. So, the frequency is increased greatly at the peak point of histogram of difference sequence. Thus, it is possible to increase greatly the amount of secret data to be embedded in cover image. The experimental results show that the proposed watermarking algorithm is superior to the previous algorithms.

Content Based Image Retrieval System using Histogram Intersection and Autocorrelogram (히스토그램 인터섹션과 오토코릴로그램을 이용한 내용기반 영상검색 시스템)

  • 송석진;김효성;이희봉;남기곤
    • Journal of the Institute of Convergence Signal Processing
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    • v.3 no.1
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    • pp.1-7
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    • 2002
  • In this paper, when users choose a query image, we implemented a content-based image retrieval system that users can simply choose and extract a object region of query wanted with not only a whole image but various objects in it. Histogram is obtained by improved HSV transformations from query image and then candidate images are retrieved rapidly by a 1st similarity measure with histogram intersection using representative colors of query image. And finally retrieved images are extracted since 2nd similarity measure with banded autocorrelogram is performed so that recall and precision are improved by combining two retrieval methods that can make up for respective weak points. Moreover images in the database are indexed automatically within feature library that makes possible to retrieve images rapidly.

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A Study of an Image Retrieval Method using Binary Subimage (이진 부분영상을 이용한 영상 검색 기법에 관한 연구)

  • 정순영;최민규;남재열
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.1
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    • pp.28-37
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    • 2001
  • An image retrieval method combining shape information of 2-dimension color histograms with color information of HSI color histograms is proposed in this paper. In addition, the proposed method can find location information of image through the comparison of similarity among subimages. The suggested retrieval method applies the location information to shape and color information and can retrieve region information which is hard to distinguish in the binary image. Some simulation results show that it works very well in the behalf of precision/recall graph compare with conventional method which uses color histogram. Especially, the proposed method brought well effects such as rotations and transitions of the objects in an image was found.

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A Frequency Spectrum Analysis based on FFT of Fire Thermal Image (FFT를 이용한 화재 열영상의 주파수 스펙트럼 분석)

  • Kim, Won-Ho;Jang, Bok-Gyu
    • Journal of the Institute of Convergence Signal Processing
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    • v.12 no.1
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    • pp.33-37
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    • 2011
  • This paper presents the frequency spectral analysis based on FFT of the infrared ray fire thermal image, it is an object to deduce the conditions for determining fire alarm through the image processing with the frequency domain. After the candidate regions are separated by using pre-defined brightness value, the fast fourier transform is performed for consecutive infrared thermal images, the frequency spectral analysis of the thermal image analyzed DC and AC frequency distribution. The fire criterion of the thermal image was presented based on the analyzed result and a practicality was confirmed through the computer simulation.

Performance Evaluation of the Developed Diagnostic Multi-Leaf Collimator and Implementation of Fusion Image of X-ray Image and Infrared Thermography Image (개발한 진단용 다엽조리개 성능평가 및 X선영상과 적외선체열영상의 융합영상 구현)

  • Kwon, Soon-Mu;Shim, Jae-Goo;Chon, Kwon-Su
    • Journal of radiological science and technology
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    • v.42 no.5
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    • pp.365-371
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    • 2019
  • We have developed and applied a diagnostic Multi-Leaf Collimator (MLC) to optimized the X-ray field in medical imaging and the usefulness evaluated through the fusion of infrared image and X-ray image acquired by infrared camera. The hand and skull radiography with multi-leaf collimator(MLC) showed significant area dose reductions of 22.9% and 31.3% compared to ARC and leakage dose was compliant with KS A 4732. Also scattering doses of 50 cm and 100 cm showed a significant decrease to confirm the usefulness of MLC. It was confirmed that the fusion of infrared images with an adjustable degree of transparency was possible in the X-ray images. Therefore, fusion of anatomical information with physiological convergence is expected to contribute and improvement of diagnostic ability. In addition, the feasibility of convergence X-ray imaging and DITI devices and the possibility of driving MLC with infrared images were confirmed.

MRI Image Super Resolution through Filter Learning Based on Surrounding Gradient Information in 3D Space (3D 공간상에서의 주변 기울기 정보를 기반에 둔 필터 학습을 통한 MRI 영상 초해상화)

  • Park, Seongsu;Kim, Yunsoo;Gahm, Jin Kyu
    • Journal of Korea Multimedia Society
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    • v.24 no.2
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    • pp.178-185
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    • 2021
  • Three-dimensional high-resolution magnetic resonance imaging (MRI) provides fine-level anatomical information for disease diagnosis. However, there is a limitation in obtaining high resolution due to the long scan time for wide spatial coverage. Therefore, in order to obtain a clear high-resolution(HR) image in a wide spatial coverage, a super-resolution technology that converts a low-resolution(LR) MRI image into a high-resolution is required. In this paper, we propose a super-resolution technique through filter learning based on information on the surrounding gradient information in 3D space from 3D MRI images. In the learning step, the gradient features of each voxel are computed through eigen-decomposition from 3D patch. Based on these features, we get the learned filters that minimize the difference of intensity between pairs of LR and HR images for similar features. In test step, the gradient feature of the patch is obtained for each voxel, and the filter is applied by selecting a filter corresponding to the feature closest to it. As a result of learning 100 T1 brain MRI images of HCP which is publicly opened, we showed that the performance improved by up to about 11% compared to the traditional interpolation method.

Vision Inspection and Correction for DDI Protective Film Attachment

  • Kang, Jin-Su;Kim, Sung-Soo;Lee, Yong-Hwan;Kim, Young-Hyung
    • Journal of Advanced Information Technology and Convergence
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    • v.10 no.2
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    • pp.153-166
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    • 2020
  • DDI(Display Driver IC) are used to drive numerous pixels that make up display. For stable driving of DDI, it is necessary to attach a protective film to shield electromagnetic waves. When the protective film is attached, defects often occur if the film is inclined or the center point is not aligned. In order to minimize such defects, an algorithm for correcting the center point and the inclined angle using camera image information is required. This technology detects the corner coordinates of the protective film by image processing in order to correct the positional defects where the protective film is attached. Corner point coordinates are detected using an algorithm, and center point position finds and correction values are calculated using the detected coordinates. LUT (Lookup Table) is used to quickly find out whether the angle is inclined or not. These algorithms were described by Verilog HDL. The method using the existing software requires a memory to store the entire image after processing one image. Since the method proposed in this paper is a method of scanning by adding a line buffer in one scan, it is possible to scan even if only a part of the image is saved after processing one image. Compared to those written in software language, the execution time is shortened, the speed is very fast, and the error is relatively small.