• 제목/요약/키워드: Image Index

검색결과 1,356건 처리시간 0.034초

수리시설물 최적관리 시스템 개발 (Development of Optimum Management System for Irrigation Facilities)

  • 김선주;윤춘경;박성열;이광야
    • 한국농공학회지
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    • 제39권2호
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    • pp.86-94
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    • 1997
  • For the efficient operation and maintenance( 0 & M), irrigation facilities were graded on the basis of their indices related to the 0 & M condition and the characteristics of reservoirs managed by Farmland Improvement Association(FIA) were examined. The results obtained are summarized as follows : 1. Characteristics of reservoirs include effective storage capacity, irrigation area, basin area, height and length of bank. Each characteristic is scored by the principle component analysis method. Variables which compose one index are categorized on the basis of their unit and each variable is scored so that the score of each unit sums to 100 for each index. 2. The Optimum MAnagement System of Irrigation Facilities(OMASIF) for Pyoungtaek area was developed by connecting general data of the irrigation facilities to image data. The database system is divided into three tables; LookUp Table, Facility Table, and Image Table. Image Table is again divided into five sub-tables, Image Table, Construction Cost Table, Acreage Table, 0 & M Cost Table, and Specification Table. 3. The evaluating criteria for the 0 & M of irrigation facilities can be established using the OMASIF. Irrigation facilities evaluated as poor state by the criteria should be repaired.

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현대 상업건축공간에 있어서 표피의 투명성 표현방법과 이미지 특성에 관한 연구 (A Study on Expression Method and Characteristic of Transparency of the Surface in Current Commercial Space)

  • 박찬일;조미나
    • 한국실내디자인학회논문집
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    • 제14권6호
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    • pp.66-74
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    • 2005
  • The purpose of this study analyzes an expression method and a characteristic of transparency of a surface in commercial space, and it is to show an index of a surface design. We did image evaluation by SD method for the commercial space which directed transparency to a surface as the method. We used a factor analysis and cluster analysis to get the image characteristic and type of the expression methods. As a result, we got six following expression methods and design indexes. (1) Transparency expression of a surface by a multiple layer. (2) Transparency expression of a surface by unification with a structure. (3) Transparency expression of a surface by transparency of materials. (4) Transparency expression of a surface by a combination of various materials. (5) Transparency expression of a surface by unification of the image media. (6) Transparency expression of a surface by transparency transformation of materials. We think that it will be able to make use of these results as a design index for the surface design of a commercial space in the future.

EEIRI: Efficient Encrypted Image Retrieval in IoT-Cloud

  • Abduljabbar, Zaid Ameen;Ibrahim, Ayad;Hussain, Mohammed Abdulridha;Hussien, Zaid Alaa;Al Sibahee, Mustafa A.;Lu, Songfeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권11호
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    • pp.5692-5716
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    • 2019
  • One of the best means to safeguard the confidentiality, security, and privacy of an image within the IoT-Cloud is through encryption. However, looking through encrypted data is a difficult process. Several techniques for searching encrypted data have been devised, but certain security solutions may not be used in IoT-Cloud because such solutions are not lightweight. We propose a lightweight scheme that can perform a content-based search of encrypted images, namely EEIRI. In this scheme, the images are represented using local features. We develop and validate a secure scheme for measuring the Euclidean distance between two descriptor sets. To improve the search efficiency, we employ the k-means clustering technique to construct a searchable tree-based index. Our index construction process ensures the privacy of the stored data and search requests. When compared with more familiar techniques of searching images over plaintexts, EEIRI is considered to be more efficient, demonstrating a higher search cost of 7% and a decrease in search accuracy of 1.7%. Numerous empirical investigations are carried out in relation to real image collections so as to evidence our work.

Optimal Image Quality Assessment based on Distortion Classification and Color Perception

  • Lee, Jee-Yong;Kim, Young-Jin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.257-271
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    • 2016
  • The Structural SIMilarity (SSIM) index is one of the most widely-used methods for perceptual image quality assessment (IQA). It is based on the principle that the human visual system (HVS) is sensitive to the overall structure of an image. However, it has been reported that indices predicted by SSIM tend to be biased depending on the type of distortion, which increases the deviation from the main regression curve. Consequently, SSIM can result in serious performance degradation. In this study, we investigate the aforementioned phenomenon from a new perspective and review a constant that plays a big role within the SSIM metric but has been overlooked thus far. Through an experimental study on the influence of this constant in evaluating images with SSIM, we are able to propose a new solution that resolves this issue. In the proposed IQA method, we first design a system to classify different types of distortion, and then match an optimal constant to each type. In addition, we supplement the proposed method by adding color perception-based structural information. For a comprehensive assessment, we compare the proposed method with 15 existing IQA methods. The experimental results show that the proposed method is more consistent with the HVS than the other methods.

An Image Signal Processor for Ultra Small HDGrade Video Sensor with 3A in Camera Phones

  • Jang, Won-Woo;Kim, Joo-Hyun;Han, Hag-Yong;Yang, Hoon-Gee;Kang, Bong-Soon
    • Journal of information and communication convergence engineering
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    • 제7권4호
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    • pp.507-515
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    • 2009
  • In this paper, we propose an image signal processor (ISP) for an ultra small HD-grade video sensor with 3A (AWB, AE, and AF) in camera phones that can process 720P/30fps videos. In order to enhance the video quality of the systems, it is necessary to achieve the high performance of the 3A. The proposed AWB algorithm multiplies the adjusted coefficients of color gains to the captured data of white objects. The proposed AE method adopts the index step moving based on the difference between an averaged Y luminance and a target luminance, together with IIR filters with variable time responses. The proposed AF technique controls the focus curve to find the lens position that maximizes the integrated high frequency components in luminance values by using highpass filters. Finally, we compare the image quality captured from our system to the quality of a commercial HD camcorder in order to evaluate the performance of the proposed ISP. The proposed ISP system is also fabricated with 0.18um CMOS flash memory process.

PCA에 기반한 압축영역에서의 MPEG Video 검색기법 (PCA-Based MPEG Video Retrieval in Compressed Domain)

  • 이경화;강대성
    • 대한전자공학회논문지SP
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    • 제40권1호
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    • pp.28-33
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    • 2003
  • 본 논문에서는 동영상 압축 부호화에 대한 표준안인 MPEG 기반의 압축 비디오 스트림으로부터 DCT DC 계수를 추출하구 이들로 구성된 DE 영상으로부터 장면 전환 검출을 수행한 후 대표 프레임을 추출한다. 또한 추출된 대표 프레임을 PCA(Principal Component Analysis) 방법을 이용하여 데이터베이스의 색인 정보로 저장한 후 입력된 질의 영상과 가장 유사한 대표 영상들을 검색하는 방법에 대해 제안한다. 즉, 추출된 대표 프레임에 대해 주성분해석 기법을 적용하여 통계적인 특성을 가진 데이터를 특징으로 추출함으로써 코드워드의 수에 따른 코드북을 생성하고 이를 데이터베이스의 색인 정보로 저장한다. 실험 결과 제안된 방법이 검색에 있어 우수한 성능을 나타내고 또한 통계적인 데이터의 특성을 이용하기 때문에 처리 시간과 상당한 양의 메모리 공간을 줄일 수 있음을 확인하였다.

DEVELOPING PREDICTIVE METHOD FOR FOREST SITE DISTRIBUTION USING SATELLITE IMAGERY AND TPI (TOPOGRAPHIC POSITION INDEX)

  • Kim, Dong-Young;Jo, Myung-Hee
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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    • pp.281-284
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    • 2008
  • Due to the remarkable development of the GIS and spatial information technology, the information on the national land and scientific management are disseminated. According to the result of research for an efficient analysis of forest site, it presents distinguishing of satellite image and methodology of TPI (Topographic Position Index). The prediction of forest site distribution through this research, specified Gyeongju-si area, gives an effect to distinguishing honor system through Quickbird image with the resolution 0.6m. Furthermore it was carried out through TPI grid that is abstracted by DEM, slope of study area and type of topography, as well as it put its operation on analysis and verification of relativity between the result of prediction on forest site distribution and the field survey report. It distinguishes distribution of country rock that importantly effects to producing of soil, using 1: 5000 forest maps and grasping distribution type of soil using satellite image and TPI, it is supposed to provide a foundation of the result on prediction of forest site. With the GIS techniques of analysis, inclination of discussion, altitude, etc, and using high resolution satellite image and TPI, it is considered to be capable to provide more exact basis information of forest resources, management of forest management both in rational and efficient.

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Analysis of Land Cover Changes Based on Classification Result Using PlanetScope Satellite Imagery

  • Yoon, Byunghyun;Choi, Jaewan
    • 대한원격탐사학회지
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    • 제34권4호
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    • pp.671-680
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    • 2018
  • Compared to the imagery produced by traditional satellites, PlanetScope satellite imagery has made it possible to easily capture remotely-sensed imagery every day through dozens or even hundreds of satellites on a relatively small budget. This study aimed to detect changed areas and update a land cover map using a PlanetScope image. To generate a classification map, pixel-based Random Forest (RF) classification was performed by using additional features, such as the Normalized Difference Water Index (NDWI) and the Normalized Difference Vegetation Index (NDVI). The classification result was converted to vector data and compared with the existing land cover map to estimate the changed area. To estimate the accuracy and trends of the changed area, the quantitative quality of the supervised classification result using the PlanetScope image was evaluated first. In addition, the patterns of the changed area that corresponded to the classification result were analyzed using the PlanetScope satellite image. Experimental results found that the PlanetScope image can be used to effectively to detect changed areas on large-scale land cover maps, and supervised classification results can update the changed areas.

Evaluation anisotropy in stochastic texture images using wavelet transforms for characterizing printing, coating and paper structure

  • 성용주
    • 한국펄프종이공학회:학술대회논문집
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    • 한국펄프종이공학회 2005년도 추계학술발표논문집
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    • pp.45-53
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    • 2005
  • A novel method for evaluating the anisotropy of the deterministic features in a stochastic 2D data is introduced. The ability of the wavelet transform for the identification of the abrupt discontinuities could be used to characterize the boundary of the deterministic area in a 2D stochastic data, such as flocs in paper structure. The one-dimensional wavelet transform with a small-scale range in MD and CD could quantify the amount of the edge in both directions, depending on the intensity of each floc. The flocs that are aligned in the MD direction result in a higher value of local wavelet energy in the CD direction. Therefore, the ratio of the total wavelet energy in CD and MD directions can be used as a new anisotropy index. This index is a measure of the floc-orientation and can provide an excellent tool to obtain the orientation distribution and the major oriented angle of flocs. Various simulated images and real stochastic data such as local gloss variation of printed image and formation image, have been tested and the results show this analysis method is very reliable to measure the anisotropy of the deterministic features.

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효과적인 이미지 검색을 위한 연장 해쉬(Extendible hash) 기반 인덱싱 및 검색 기법 (Indexing and Matching Scheme for Content-based Image Retrieval based on Extendible Hash)

  • 탁윤식;황인준
    • 전기전자학회논문지
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    • 제14권4호
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    • pp.339-345
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    • 2010
  • 보다 빠른 내용 기반 이미지 검색을 위해, 다차원 특징 정보의 효과적인 인덱싱에 대한 다양한 연구들이 수행되고 있다. 하지만, 대부분의 인덱싱 기법들은 특징 정보의 차원이 커질수록 성능이 저하되는 문제를 가지고 있으며, 이를 대체하기 위해서 '높은 확률'로써 사용자가 원하는 결과를 제공해 주기 위한 휴리스틱 (heuristic) 알고리즘을 사용한 기법들이 제안되었다. 본 논문에서는 이러한 다차원 특징 정보를 효과적으로 인덱싱 하기 위해, 연장 해쉬 기반의 새로운 인덱싱 기법을 제안한다. 제안된 인덱싱 기법은 기존의 기법들이 가졌던 문제들을 해결하기 위해, 검색의 정확도에 영향을 주지 않으면서 빠른 검색이 가능하도록 설계되었다. 다양한 실험을 통해, 제안된 기법이 월등한 성능을 가질 수 있음을 보였다.