• Title/Summary/Keyword: image space

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A Comparison of Superpixel Characteristics for Color Feature Spaces (칼라특징공간별 슈퍼픽셀의 특성비교)

  • Lee, Jeong-Hwan
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.10a
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    • pp.915-917
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    • 2011
  • In this paper, a comparison of superpixel characteristics for each color feature space. The superpixel is consist of several pixels with same features such as luminance, color, textures etc. The superpixel can be used on image processing and analysis with large image size to speed up the process. We compare the superpixel characteristics by means of compactness using Berkeley image database(BSD-300).

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Edge Detection Method Based on Neural Networks for COMS MI Images

  • Lee, Jin-Ho;Park, Eun-Bin;Woo, Sun-Hee
    • Journal of Astronomy and Space Sciences
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    • v.33 no.4
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    • pp.313-318
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    • 2016
  • Communication, Ocean And Meteorological Satellite (COMS) Meteorological Imager (MI) images are processed for radiometric and geometric correction from raw image data. When intermediate image data are matched and compared with reference landmark images in the geometrical correction process, various techniques for edge detection can be applied. It is essential to have a precise and correct edged image in this process, since its matching with the reference is directly related to the accuracy of the ground station output images. An edge detection method based on neural networks is applied for the ground processing of MI images for obtaining sharp edges in the correct positions. The simulation results are analyzed and characterized by comparing them with the results of conventional methods, such as Sobel and Canny filters.

Image Forgery Detection Using Gabor Filter (가보 필터를 이용한 이미지 위조 검출 기법)

  • NININAHAZWE, Sheilha;Rhee, Kyung-Hyune
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.520-522
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    • 2014
  • Due to the availability of easy-to-use and powerful image editing tools, the authentication of digital images cannot be taken for granted and it gives rise to non-intrusive forgery detection problem because all imaging devices do not embed watermark. Forgery detection plays an important role in this case. In this paper, an effective framework for passive-blind method for copy-move image forgery detection is proposed, based on Gabor filter which is robust to illumination, rotation invariant, robust to scale. For the detection, the suspicious image is selected and Gabor wavelet is applied from whole scale space and whole direction space. We will extract the mean and the standard deviation as the texture features and feature vectors. Finally, a distance is calculated between two textures feature vectors to determine the forgery, and the decision will be made based on that result.

Road Extraction Based on Watershed Segmentation for High Resolution Satellite Images

  • Chang, Li-Yu;Chen, Chi-Farn
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.525-527
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    • 2003
  • Recently, the spatial resolution of earth observation satellites is significantly increased to a few meters. Such high spatial resolution images definitely will provide lots of information for detail-thirsty remote sensing users. However, it is more difficult to develop automated image algorithms for automated image feature extraction and pattern recognition. In this study, we propose a two-stage procedure to extract road information from high resolution satellite images. At first stage, a watershed segmentation technique is developed to classify the image into various regions. Then, a knowledge is built for road and used to extract the road regions. In this study, we use panchromatic and multi-spectral images of the IKONOS satellite as test dataset. The experiment result shows that the proposed technique can generate suitable and meaningful road objects from high spatial resolution satellite images. Apparently, misclassified regions such as parking lots are recognized as road needed further refinement in future research.

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Development of Image-space Telecentric Lens for Intra-Oral 3D Scanner

  • Kim, Tae Young;Shin, Min-Ho;Chang, Ryungkee;Kim, Young-Joo
    • Journal of the Optical Society of Korea
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    • v.19 no.3
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    • pp.303-310
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    • 2015
  • An image-space telecentric lens for an intra-oral 3D scanner was designed and fabricated for dental application. Since a telecentric function can provide the same results regardless of image plane position, it helps to realize a more accurate image for an intra-oral scanner. The performance of the designed lens meets the required properties for HD resolution. In particular, lateral color is corrected within 1 pixel. This system achieves depth of focus of more than 3 mm. For user convenience, the developed system consists of a prism part and an imaging part. Both parts are optimized to reduce the front size and weight of the system. In order to make the parallax sights, parallax angle was determined to be 8 degrees between two optical systems.

Medical Diagnosis Algorithm Based on Tongue Image on Mobile Device

  • Zhou, Zibo;Peng, Dongliang;Gao, Fumeng;Leng, Lu
    • Journal of Multimedia Information System
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    • v.6 no.2
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    • pp.99-106
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    • 2019
  • In traditional Chinese medical (TCM) science, tongue images can be observed for medical diagnosis; however, the tongue diagnosis of TCM is influenced by the subjective factors of doctors, and the diagnosis results vary from person to person. Quantitative TCM tongue diagnosis can improve the accuracy of diagnosis and increase the application value. In this paper, digital image processing and pattern recognition technologies are employed on mobile device to classify tongue images collected in different health states. First, through grayscale integral projection processing, the trough is found to localize the tongue body. Then the tongue body image is transferred from RGB color space to HSV color space, and the average H and S values are considered as the color features. Finally, the diagnosis results are obtained according to the relationship between the color characteristics and physical symptoms.

Analysis on Residents Consciousness about Management of the Exterior Space in Apt. Complex (대단위 아파트 단지의 조경공간 관리에 대한 주민의식 분석 - 대구시 지산지구 아파트단지를 대상으로 -)

  • Lee, Kee Cheol;Lee, Hyun Taek;Kim, Dong Pil;Lee, Jeong
    • Current Research on Agriculture and Life Sciences
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    • v.12
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    • pp.35-49
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    • 1994
  • The Purpose of this study was to establish the belter residential environment in Apt. complex. In this study, the management consciousness of exterior space and the degree of satisfaction were investigated and analyzed on the GI-SAN Apt. complex in Taegu city. The data were obtained through the questionnaire survey about the exterior space of Apt. complex and analyzed by the SPSS/PC. The results of this analysis are as follow; The result of the image analysis were the cleanness factor and the arrangement factor, which have great influenced in residents image of exterior space. The dissatisfaction source of the management conditions were owing to the lake of management techniques and the discord of residents. The subject of management in the residents consciousness was the management office. In additionally, the management form by the residents were highly showed the cleaning and weeding. The main issues of their dissatisfaction about the exterior space was the lake of size, quantity of plants and rest space. The place of the most demand on management was investigated the children playground which was regarded to be the most damaged.

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Optimization Methodology of Quality Measurement of Digital Correlator (디지털 상관기 성능 측정의 최적화 기법)

  • Yeom, Jae-Hwan;Jeong, Goo-Young;Roh, Duk-Gyoo;Oh, Se-Jin;Kim, Kwang-Dong;Lee, Chang-Hoon
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.371-372
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    • 2006
  • In this paper, we propose a method that measures quality of digital correlator. Quality of digital correlator in field of image composition of radio astronomy have as important position for acquisition of radio wave image with high precision. Digital correlator should have wide bandwidth and high precision to study on deep space. Digital correlator, therefore, should be designed to have high speed processing and high precision. But, real time measurement of quality of digital correlator using acquisition data is difficult to compare accuracy of result because digital correlator should process a large quantity of data with high speed. Measurement method of quality, also, has intricate implementation of experiment equipment. this paper present methods that compose experiment equipment without external installation easily and verify quality of digital correlator perfectly.

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SPECKLE IMAGING TECHNIQUE FOR LUNAR SURFACES

  • Kim, Jinkyu;Sim, Chae Kyung;Jeong, Minsup;Moon, Hong-Kyu;Choi, Young-Jun;Kim, Sungsoo S.;Jin, Ho
    • Journal of The Korean Astronomical Society
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    • v.55 no.4
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    • pp.87-97
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    • 2022
  • Polarimetric measurements of the lunar surface from lunar orbit soon will be available via Wide-Field Polarimetric Camera (PolCam) onboard the Korea Pathfinder Lunar Orbiter (KPLO), which is planned to be launched in mid 2022. To provide calibration data for the PolCam, we are conducting speckle polarimetric measurements of the nearside of the Moon from the Earth's ground. It appears that speckle imaging of the Moon for scientific purposes has not been attempted before, and there is need for a procedure to create a "lucky image" from a number of observed speckle images. As a first step of obtaining calibration data for the PolCam from the ground, we search for the best sharpness measure for lunar surfaces. We then calculate the minimum number of speckle images and the number of images to be shift-and-added for higher resolution (sharpness) and signal-to-noise ratio.

Point Cloud Generation Method Based on Lidar and Stereo Camera for Creating Virtual Space (가상공간 생성을 위한 라이다와 스테레오 카메라 기반 포인트 클라우드 생성 방안)

  • Lim, Yo Han;Jeong, In Hyeok;Lee, San Sung;Hwang, Sung Soo
    • Journal of Korea Multimedia Society
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    • v.24 no.11
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    • pp.1518-1525
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    • 2021
  • Due to the growth of VR industry and rise of digital twin industry, the importance of implementing 3D data same as real space is increasing. However, the fact that it requires expertise personnel and huge amount of time is a problem. In this paper, we propose a system that generates point cloud data with same shape and color as a real space, just by scanning the space. The proposed system integrates 3D geometric information from lidar and color information from stereo camera into one point cloud. Since the number of 3D points generated by lidar is not enough to express a real space with good quality, some of the pixels of 2D image generated by camera are mapped to the correct 3D coordinate to increase the number of points. Additionally, to minimize the capacity, overlapping points are filtered out so that only one point exists in the same 3D coordinates. Finally, 6DoF pose information generated from lidar point cloud is replaced with the one generated from camera image to position the points to a more accurate place. Experimental results show that the proposed system easily and quickly generates point clouds very similar to the scanned space.